8.3.12 Cloud Detection, Extraction and Removal

Zhuge, X.Y., Zou, X., Wang, Y.,
A Fast Cloud Detection Algorithm Applicable to Monitoring and Nowcasting of Daytime Cloud Systems,
GeoRS(55), No. 11, November 2017, pp. 6111-6119.
IEEE DOI 1711
Atmospheric modeling, Clouds, Detection algorithms, Ocean temperature, Satellites, Sea surface, Surface waves, Clouds, meteorology, remote sensing, satellite, application BibRef

Reguiegue, M.[Mourad], Chouireb, F.[Fatima],
Automatic day time cloud detection over land and sea from MSG SEVIRI images using three features and two artificial intelligence approaches,
SIViP(12), No. 1, January 2018, pp. 189-196.
WWW Link. 1801
BibRef

Oishi, Y.[Yu], Ishida, H.[Haruma], Nakajima, T.Y.[Takashi Y.], Nakamura, R.[Ryosuke], Matsunaga, T.[Tsuneo],
The Impact of Different Support Vectors on GOSAT-2 CAI-2 L2 Cloud Discrimination,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Bulgin, C.E.[Claire E.], Mittaz, J.P.D.[Jonathan P. D.], Embury, O.[Owen], Eastwood, S.[Steinar], Merchant, C.J.[Christopher J.],
Bayesian Cloud Detection for 37 Years of Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Bulgin, C.E.[Claire E.], Embury, O.[Owen], Maidment, R.I.[Ross I.], Merchant, C.J.[Christopher J.],
Bayesian Cloud Detection over Land for Climate Data Records,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Li, H.Y.[Hao-Yang], Zheng, H.[Hong], Han, C.Z.[Chuan-Zhao], Wang, H.B.[Hai-Bo], Miao, M.[Min],
Onboard Spectral and Spatial Cloud Detection for Hyperspectral Remote Sensing Images,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Malek, S., Melgani, F., Bazi, Y., Alajlan, N.,
Reconstructing Cloud-Contaminated Multispectral Images With Contextualized Autoencoder Neural Networks,
GeoRS(56), No. 4, April 2018, pp. 2270-2282.
IEEE DOI 1804
Clouds, Image reconstruction, Neural networks, Optimization, Reconstruction algorithms, Remote sensing, Training, multiobjective optimization (MO optimization) BibRef

Bojanowski, J.S.[Jedrzej S.], Stöckli, R.[Reto], Duguay-Tetzlaff, A.[Anke], Finkensieper, S.[Stephan], Hollmann, R.[Rainer],
Performance Assessment of the COMET Cloud Fractional Cover Climatology across Meteosat Generations,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Oishi, Y.[Yu], Sawada, Y.[Yoshito], Kamei, A.[Akihide], Murakami, K.[Kazutaka], Nakamura, R.[Ryosuke], Matsunaga, T.[Tsuneo],
Impact of Changes in Minimum Reflectance on Cloud Discrimination,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Urbich, I.[Isabel], Bendix, J.[Jörg], Müller, R.[Richard],
A Novel Approach for the Short-Term Forecast of the Effective Cloud Albedo,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Zi, Y.[Yue], Xie, F.Y.[Feng-Ying], Jiang, Z.G.[Zhi-Guo],
A Cloud Detection Method for Landsat 8 Images Based on PCANet,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Wang, H.X.[Hong-Xia], Xu, X.J.[Xiao-Jian],
Cloud Classification in Wide-Swath Passive Sensor Images Aided by Narrow-Swath Active Sensor Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Mateo-García, G.[Gonzalo], Gómez-Chova, L.[Luis], Amorós-López, J.[Julia], Muñoz-Marí, J.[Jordi], Camps-Valls, G.[Gustau],
Multitemporal Cloud Masking in the Google Earth Engine,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Won, H.Y.[Hye Young], Ahn, M.H.[Myoung Hwan],
Effects of Dynamic Range and Sampling Rate of an Infrared Thermometer to the Accuracy of the Cloud Detection,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Chen, S.[Shuli], Chen, X.H.[Xue-Hong], Chen, X.[Xiang], Chen, J.[Jin], Cao, X.[Xin], Shen, M.G.[Miao-Gen], Yang, W.[Wei], Cui, X.H.[Xi-Hong],
A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Cermak, J.[Jan],
Fog and Low Cloud Frequency and Properties from Active-Sensor Satellite Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Wang, J., Liu, C., Min, M., Hu, X., Lu, Q., Husi, L.,
Effects and Applications of Satellite Radiometer 2.25-mu-m Channel on Cloud Property Retrievals,
GeoRS(56), No. 9, September 2018, pp. 5207-5216.
IEEE DOI 1809
Clouds, MODIS, Satellite broadcasting, Ice, Optical imaging, Optical sensors, Nonhomogeneous media, Cloud properties, near-infrared (NIR) channels BibRef

Martins, V.S.[Vitor S.], Novo, E.M.L.M.[Evlyn M.L.M.], Lyapustin, A.[Alexei], Aragão, L.E.O.C.[Luiz E.O.C.], Freitas, S.R.[Saulo R.], Barbosa, C.C.F.[Claudio C.F.],
Seasonal and interannual assessment of cloud cover and atmospheric constituents across the Amazon (2000-2015): Insights for remote sensing and climate analysis,
PandRS(145), 2018, pp. 309-327.
Elsevier DOI 1811
Aerosol, Water vapor, Ozone, Cloud cover, MODIS-MAIAC, Climatology BibRef

Wu, X.[Xi], Shi, Z.W.[Zhen-Wei],
Utilizing Multilevel Features for Cloud Detection on Satellite Imagery,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Lee, B.[Byungsuk], di Girolamo, L.[Larry], Zhao, G.Y.[Guang-Yu], Zhan, Y.Z.[Yi-Zhe],
Three-Dimensional Cloud Volume Reconstruction from the Multi-angle Imaging Spectro-Radiometer,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Drönner, J.[Johannes], Korfhage, N.[Nikolaus], Egli, S.[Sebastian], Mühling, M.[Markus], Thies, B.[Boris], Bendix, J.[Jörg], Freisleben, B.[Bernd], Seeger, B.[Bernhard],
Fast Cloud Segmentation Using Convolutional Neural Networks,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Xia, S.[Shuang], Mestas-Nuñez, A.M.[Alberto M.], Xie, H.J.[Hong-Jie], Tang, J.[Jiakui], Vega, R.[Rolando],
Characterizing Variability of Solar Irradiance in San Antonio, Texas Using Satellite Observations of Cloudiness,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Xia, S.[Shuang], Mestas-Nuñez, A.M.[Alberto M.], Xie, H.J.[Hong-Jie], Vega, R.[Rolando],
Satellite-based Cloudiness and Solar Energy Potential in Texas and Surrounding Regions,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Li, X.H.[Xing-Hua], Wang, L.Y.[Li-Yuan], Cheng, Q.[Qing], Wu, P.H.[Peng-Hai], Gan, W.X.[Wen-Xia], Fang, L.[Lina],
Cloud removal in remote sensing images using nonnegative matrix factorization and error correction,
PandRS(148), 2019, pp. 103-113.
Elsevier DOI 1901
Cloud removal, Error correction, Nonnegative matrix factorization, Multitemporal, Optical remote sensing image BibRef

Li, W.S.[Wei-Sheng], Li, F.Y.[Fei-Yan], Du, J.[Jiao],
A level set image segmentation method based on a cloud model as the priori contour,
SIViP(13), No. 1, February 2019, pp. 103-110.
WWW Link. 1901
BibRef

Fu, H.L.[Hua-Lian], Shen, Y.[Yuan], Liu, J.[Jun], He, G.J.[Guang-Jun], Chen, J.S.[Jin-Song], Liu, P.[Ping], Qian, J.[Jing], Li, J.[Jun],
Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Liu, C.C.[Cheng-Chien], Zhang, Y.C.[Yu-Cheng], Chen, P.Y.[Pei-Yin], Lai, C.C.[Chien-Chih], Chen, Y.H.[Yi-Hsin], Cheng, J.H.[Ji-Hong], Ko, M.H.[Ming-Hsun],
Clouds Classification from Sentinel-2 Imagery with Deep Residual Learning and Semantic Image Segmentation,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Yu, W.P.[Wen-Ping], Tan, J.[Junlei], Ma, M.G.[Ming-Guo], Li, X.L.[Xiao-Lu], She, X.J.[Xiao-Jun], Song, Z.J.[Zeng-Jing],
An Effective Similar-Pixel Reconstruction of the High-Frequency Cloud-Covered Areas of Southwest China,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Baetens, L.[Louis], Desjardins, C.[Camille], Hagolle, O.[Olivier],
Validation of Copernicus Sentinel-2 Cloud Masks Obtained from MAJA, Sen2Cor, and FMask Processors Using Reference Cloud Masks Generated with a Supervised Active Learning Procedure,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Stöckli, R.[Reto], Bojanowski, J.S.[Jedrzej S.], John, V.O.[Viju O.], Duguay-Tetzlaff, A.[Anke], Bourgeois, Q.[Quentin], Schulz, J.[Jörg], Hollmann, R.[Rainer],
Cloud Detection with Historical Geostationary Satellite Sensors for Climate Applications,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Angel, Y.[Yoseline], Houborg, R.[Rasmus], McCabe, M.F.[Matthew F.],
Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Ghassemi, S.[Sina], Magli, E.[Enrico],
Convolutional Neural Networks for On-Board Cloud Screening,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Lai, R.Z.[Rui-Ze], Teng, S.[Shiwen], Yi, B.Q.[Bing-Qi], Letu, H.[Husi], Min, M.[Min], Tang, S.H.[Shi-Hao], Liu, C.[Chao],
Comparison of Cloud Properties from Himawari-8 and Feng-Yun-4A Geostationary Satellite Radiometers with MODIS Cloud Retrievals,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Militino, A.F., Ugarte, M.D., Pérez-Goya, U., Genton, M.G.,
Interpolation of the Mean Anomalies for Cloud Filling in Land Surface Temperature and Normalized Difference Vegetation Index,
GeoRS(57), No. 8, August 2019, pp. 6068-6078.
IEEE DOI 1908
atmospheric techniques, clouds, land surface temperature, radiometry, vegetation mapping, mean anomalies, subsequent images, thin-plate splines BibRef

Zhang, Y., Wen, F., Gao, Z., Ling, X.,
A Coarse-to-Fine Framework for Cloud Removal in Remote Sensing Image Sequence,
GeoRS(57), No. 8, August 2019, pp. 5963-5974.
IEEE DOI 1908
clouds, feature extraction, geophysical image processing, geophysical signal processing, image classification, robust principal component analysis (RPCA) BibRef

Yang, J., Guo, J., Yue, H., Liu, Z., Hu, H., Li, K.,
CDnet: CNN-Based Cloud Detection for Remote Sensing Imagery,
GeoRS(57), No. 8, August 2019, pp. 6195-6211.
IEEE DOI 1908
atmospheric techniques, clouds, geophysical image processing, image segmentation, neural nets, remote sensing, CDnet, thumbnails BibRef

Guo, J., Yang, J., Yue, H., Tan, H., Hou, C., Li, K.,
CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence,
GeoRS(59), No. 1, January 2021, pp. 700-713.
IEEE DOI 2012
Cloud computing, Feature extraction, Semantics, Satellites, Adaptation models, Clouds, Decoding, Adaptive feature fusing, ZY-3 satellite thumbnails BibRef

Li, Z.W.[Zhi-Wei], Shen, H.[Huanfeng], Cheng, Q.[Qing], Li, W.[Wei], Zhang, L.P.[Liang-Pei],
Thick Cloud Removal in High-Resolution Satellite Images Using Stepwise Radiometric Adjustment and Residual Correction,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Masuda, R.[Ryosuke], Iwabuchi, H.[Hironobu], Schmidt, K.S.[Konrad Sebastian], Damiani, A.[Alessandro], Kudo, R.[Rei],
Retrieval of Cloud Optical Thickness from Sky-View Camera Images using a Deep Convolutional Neural Network based on Three-Dimensional Radiative Transfer,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Ye, L., Cao, Z., Xiao, Y., Yang, Z.,
Supervised Fine-Grained Cloud Detection and Recognition in Whole-Sky Images,
GeoRS(57), No. 10, October 2019, pp. 7972-7985.
IEEE DOI 1910
clouds, feature extraction, image classification, image colour analysis, image segmentation, image texture, metric learning (ML) BibRef

Francis, A.[Alistair], Sidiropoulos, P.[Panagiotis], Muller, J.P.[Jan-Peter],
CloudFCN: Accurate and Robust Cloud Detection for Satellite Imagery with Deep Learning,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Hughes, M.J.[M. Joseph], Kennedy, R.[Robert],
High-Quality Cloud Masking of Landsat 8 Imagery Using Convolutional Neural Networks,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Wang, X., Min, M., Wang, F., Guo, J., Li, B., Tang, S.,
Intercomparisons of Cloud Mask Products Among Fengyun-4A, Himawari-8, and MODIS,
GeoRS(57), No. 11, November 2019, pp. 8827-8839.
IEEE DOI 1911
Clouds, Cloud computing, MODIS, Satellite broadcasting, Real-time systems, Spatial resolution, Satellites, Cloud mask, radiative transfer BibRef

Tonooka, H.[Hideyuki], Tachikawa, T.[Tetsushi],
ASTER Cloud Coverage Assessment and Mission Operations Analysis Using Terra/MODIS Cloud Mask Products,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Sharma, P.[Puneet], Dalin, P.[Peter], Mann, I.[Ingrid],
Towards a Framework for Noctilucent Cloud Analysis,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Purbantoro, B.[Babag], Aminuddin, J.[Jamrud], Manago, N.[Naohiro], Toyoshima, K.[Koichi], Lagrosas, N.[Nofel], Sumantyo, J.T.S.[Josaphat Tetuko Sri], Kuze, H.[Hiroaki],
Comparison of Aqua/Terra MODIS and Himawari-8 Satellite Data on Cloud Mask and Cloud Type Classification Using Split Window Algorithm,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhang, Q.[Qi], Yu, Y.[Yi], Zhang, W.M.[Wei-Min], Luo, T.[Tengling], Wang, X.[Xiang],
Cloud Detection from FY-4A's Geostationary Interferometric Infrared Sounder Using Machine Learning Approaches,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Yu, H.X.[Hai-Xiao], Ma, J.J.[Jin-Ji], Ahmad, S.[Safura], Sun, E.[Erchang], Li, C.[Chao], Li, Z.Q.A.[Zheng-Qi-Ang], Hong, J.[Jin],
Three-Dimensional Cloud Structure Reconstruction from the Directional Polarimetric Camera,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Gao, J.H.[Jian-Hao], Yuan, Q.Q.[Qiang-Qiang], Li, J.[Jie], Zhang, H.[Hai], Su, X.[Xin],
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Melchiorre, A.[Andrea], Boschetti, L.[Luigi], Roy, D.P.[David P.],
Global Evaluation of the Suitability of MODIS-Terra Detected Cloud Cover as a Proxy for Landsat 7 Cloud Conditions,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Gorooh, V.A.[Vesta Afzali], Kalia, S.[Subodh], Nguyen, P.[Phu], Hsu, K.L.[Kuo-Lin], Sorooshian, S.[Soroosh], Ganguly, S.[Sangram], Nemani, R.R.[Ramakrishna R.],
Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Mateo-García, G.[Gonzalo], Laparra, V.[Valero], López-Puigdollers, D.[Dan], Gómez-Chova, L.[Luis],
Transferring deep learning models for cloud detection between Landsat-8 and Proba-V,
PandRS(160), 2020, pp. 1-17.
Elsevier DOI 2001
Transfer learning, Cloud masking, Convolutional neural networks, Deep learning, Domain adaptation BibRef

Xiong, Q.[Quan], Wang, Y.[Yuan], Liu, D.[Diyou], Ye, S.J.[Si-Jing], Du, Z.B.[Zhen-Bo], Liu, W.[Wei], Huang, J.[Jianxi], Su, W.[Wei], Zhu, D.[Dehai], Yao, X.C.[Xiao-Chuang], Zhang, X.D.[Xiao-Dong],
A Cloud Detection Approach Based on Hybrid Multispectral Features with Dynamic Thresholds for GF-1 Remote Sensing Images,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Dehnavi, S.[Sahar], Maghsoudi, Y.[Yasser], Zakšek, K.[Klemen], Zoej, M.J.V.[Mohammad Javad Valadan], Seckmeyer, G.[Gunther], Skripachev, V.[Vladimir],
Cloud Detection Based on High Resolution Stereo Pairs of the Geostationary Meteosat Images,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Karlsson, K.G.[Karl-Göran], Johansson, E.[Erik], Håkansson, N.[Nina], Sedlar, J.[Joseph], Eliasson, S.[Salomon],
Probabilistic Cloud Masking for the Generation of CM SAF Cloud Climate Data Records from AVHRR and SEVIRI Sensors,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Li, W., Li, Y., Chan, J.C.,
Thick Cloud Removal With Optical and SAR Imagery via Convolutional-Mapping-Deconvolutional Network,
GeoRS(58), No. 4, April 2020, pp. 2865-2879.
IEEE DOI 2004
Cloud removal, convolutional neural network (CNN), intensity normalization, multisource estimation BibRef

Alonso-Montesinos, J.[Joaquín],
Real-Time Automatic Cloud Detection Using a Low-Cost Sky Camera,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Lu, M.[Ming], Li, F.[Feng], Zhan, B.C.[Bang-Cheng], Li, H.[He], Yang, X.[Xue], Lu, X.T.[Xiao-Tian], Xiao, H.[Huachao],
An Improved Cloud Detection Method for GF-4 Imagery,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Pugazhenthi, A., Kumar, L.S.[Lakshmi Sutha],
Automatic cloud segmentation from INSAT-3D satellite image via IKM and IFCM clustering,
IET-IPR(14), No. 7, 29 May 2020, pp. 1273-1280.
DOI Link 2005
BibRef

Krauz, L.[Lukáš], Janout, P.[Petr], Blažek, M.[Martin], Páta, P.[Petr],
Assessing Cloud Segmentation in the Chromacity Diagram of All-Sky Images,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Bielinski, T.[Tomasz],
A Parallax Shift Effect Correction Based on Cloud Height for Geostationary Satellites and Radar Observations,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Weaver, C.J.[Clark J.], Wu, D.L.[Dong L.], Bhartia, P.K.[Pawan K.], Labow, G.J.[Gordon J.], Haffner, D.P.[David P.],
A Long-Term Cloud Albedo Data Record Since 1980 from UV Satellite Sensors,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Kristollari, V.[Viktoria], Karathanassi, V.[Vassilia],
Fine-Tuning Self-Organizing Maps for Sentinel-2 Imagery: Separating Clouds from Bright Surfaces,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Yu, J.C.[Jun-Chuan], Li, Y.C.[Yi-Chuan], Zheng, X.X.[Xiang-Xiang], Zhong, Y.F.[Yu-Feng], He, P.[Peng],
An Effective Cloud Detection Method for Gaofen-5 Images via Deep Learning,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Meraner, A.[Andrea], Ebel, P.[Patrick], Zhu, X.X.[Xiao Xiang], Schmitt, M.[Michael],
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion,
PandRS(166), 2020, pp. 333-346.
Elsevier DOI 2007
Award, U.V. Helava, ISPRS. Cloud removal, Optical imagery, SAR-optical, Data fusion, Deep learning, Residual network BibRef

Giuffrida, G.[Gianluca], Diana, L.[Lorenzo], de Gioia, F.[Francesco], Benelli, G.[Gionata], Meoni, G.[Gabriele], Donati, M.[Massimiliano], Fanucci, L.[Luca],
CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Kim, B.Y.[Bu-Yo], Cha, J.W.[Joo Wan],
Cloud Observation and Cloud Cover Calculation at Nighttime Using the Automatic Cloud Observation System (ACOS) Package,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Chen, X.[Xidong], Liu, L.Y.[Liang-Yun], Gao, Y.[Yuan], Zhang, X.[Xiao], Xie, S.[Shuai],
A Novel Classification Extension-Based Cloud Detection Method for Medium-Resolution Optical Images,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Cilli, R.[Roberto], Monaco, A.[Alfonso], Amoroso, N.[Nicola], Tateo, A.[Andrea], Tangaro, S.[Sabina], Bellotti, R.[Roberto],
Machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Mondragón, R.[Román], Alonso-Montesinos, J.[Joaquín], Riveros-Rosas, D.[David], Bonifaz, R.[Roberto],
Determination of Cloud Motion Applying the Lucas-Kanade Method to Sky Cam Imagery,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Satilmis, P.[Pinar], Bashford-Rogers, T.[Thomas], Chalmers, A.[Alan], Debattista, K.[Kurt],
Per-pixel classification of clouds from whole sky HDR images,
SP:IC(88), 2020, pp. 115950.
Elsevier DOI 2009
Cloud-type classification, Per-pixel classification BibRef

Yuchechen, A.E.[Adrián E.], Lakkis, S.G.[S. Gabriela], Caferri, A.[Agustín], Canziani, P.O.[Pablo O.], Muszkats, J.P.[Juan Pablo],
A Cluster Approach to Cloud Cover Classification over South America and Adjacent Oceans Using a k-means/k-means++ Unsupervised Algorithm on GOES IR Imagery,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Wang, S.T.[Shun-Tian], Liu, C.[Cheng], Zhang, W.Q.[Wen-Qiang], Hao, N.[Nan], García, S.G.[Sebastián Gimeno], Xing, C.Z.[Cheng-Zhi], Zhang, C.X.[Cheng-Xin], Su, W.J.[Wen-Jing], Liu, J.G.[Jian-Guo],
Development and Application of HECORA Cloud Retrieval Algorithm Based On the O2-O2 477 nm Absorption Band,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
Hefei EMI Cloud Retrieval Algorithm. builds on OMCLDO2. BibRef

Wang, Z.[Zheng], Du, J.[Jun], Xia, J.[Junshi], Chen, C.[Cheng], Zeng, Q.[Qun], Tian, L.Q.[Li-Qiao], Wang, L.H.[Li-Hui], Mao, Z.H.[Zhi-Hua],
An Effective Method for Detecting Clouds in GaoFen-4 Images of Coastal Zones,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Zhang, J.[Jing], Zhou, Q.[Qin], Wu, J.[Jun], Wang, Y.C.[Yu-Chen], Wang, H.[Hui], Li, Y.S.[Yun-Song], Chai, Y.Z.[Yu-Zhou], Liu, Y.[Yang],
A Cloud Detection Method Using Convolutional Neural Network Based on Gabor Transform and Attention Mechanism with Dark Channel Subnet for Remote Sensing Image,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Li, X.L.[Xiao-Long], Zheng, H.[Hong], Han, C.Z.[Chuan-Zhao], Wang, H.B.[Hai-Bo], Dong, K.H.[Kai-Han], Jing, Y.[Ying], Zheng, W.T.[Wen-Tao],
Cloud Detection of SuperView-1 Remote Sensing Images Based on Genetic Reinforcement Learning,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Stock, A.[Andy], Subramaniam, A.[Ajit], van Dijken, G.L.[Gert L.], Wedding, L.M.[Lisa M.], Arrigo, K.R.[Kevin R.], Mills, M.M.[Matthew M.], Cameron, M.A.[Mary A.], Micheli, F.[Fiorenza],
Comparison of Cloud-Filling Algorithms for Marine Satellite Data,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Frey, R.A.[Richard A.], Ackerman, S.A.[Steven A.], Holz, R.E.[Robert E.], Dutcher, S.[Steven], Griffith, Z.[Zach],
The Continuity MODIS-VIIRS Cloud Mask,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Dai, P.Y.[Pei-Yu], Ji, S.P.[Shun-Ping], Zhang, Y.J.[Yong-Jun],
Gated Convolutional Networks for Cloud Removal From Bi-Temporal Remote Sensing Images,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Ji, S.P.[Shun-Ping], Dai, P.Y.[Pei-Yu], Lu, M., Zhang, Y.J.[Yong-Jun],
Simultaneous Cloud Detection and Removal From Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks,
GeoRS(59), No. 1, January 2021, pp. 732-748.
IEEE DOI 2012
Clouds, Remote sensing, Image reconstruction, Machine learning, Image restoration, Image segmentation, Support vector machines, multitemporal remote sensing images BibRef

Duan, C.X.[Chen-Xi], Pan, J.[Jun], Li, R.[Rui],
Thick Cloud Removal of Remote Sensing Images Using Temporal Smoothness and Sparsity Regularized Tensor Optimization,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

di Natale, G.[Gianluca], Bianchini, G.[Giovanni], del Guasta, M.[Massimo], Ridolfi, M.[Marco], Maestri, T.[Tiziano], Cossich, W.[William], Magurno, D.[Davide], Palchetti, L.[Luca],
Characterization of the Far Infrared Properties and Radiative Forcing of Antarctic Ice and Water Clouds Exploiting the Spectrometer-LiDAR Synergy,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Dagobert, T.[Tristan], Grompone von Gioi, R.[Rafael], de Franchis, C.[Carlo], Morel, J.M.[Jean-Michel], Hessel, C.[Charles],
Cloud Detection by Luminance and Inter-band Parallax Analysis for Pushbroom Satellite Imagers,
IPOL(10), 2020, pp. 167-190.
DOI Link 2011
Code, Cloud Detection. The nature of the pushbroom results in parallax for clouds relative to the ground. BibRef

Li, W.Y.[Wen-Yuan], Zou, Z.X.[Zheng-Xia], Shi, Z.W.[Zhen-Wei],
Deep Matting for Cloud Detection in Remote Sensing Images,
GeoRS(58), No. 12, December 2020, pp. 8490-8502.
IEEE DOI 2012
Cloud computing, Task analysis, Remote sensing, Optical imaging, Optical sensors, Decoding, Cloud detection, remote sensing (RS) image BibRef

Krinitskiy, M.[Mikhail], Aleksandrova, M.[Marina], Verezemskaya, P.[Polina], Gulev, S.[Sergey], Sinitsyn, A.[Alexey], Kovaleva, N.[Nadezhda], Gavrikov, A.[Alexander],
On the Generalization Ability of Data-Driven Models in the Problem of Total Cloud Cover Retrieval,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Li, E., Zhang, Z., Tan, Y., Wang, Q.,
A Novel Cloud Detection Algorithm Based on Simplified Radiative Transfer Model for Aerosol Retrievals: Preliminary Result on Himawari-8 Over Eastern China,
GeoRS(59), No. 3, March 2021, pp. 2550-2561.
IEEE DOI 2103
Clouds, Satellites, Aerosols, Cloud computing, Sea surface, Heuristic algorithms, Ocean temperature, Aerosol retrievals, simplified radiative transfer model (RTM) BibRef

López-Puigdollers, D.[Dan], Mateo-García, G.[Gonzalo], Gómez-Chova, L.[Luis],
Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Minnis, P., Sun-Mack, S., Chen, Y., Chang, F.L., Yost, C.R., Smith, W.L., Heck, P.W., Arduini, R.F., Bedka, S.T., Yi, Y., Hong, G., Jin, Z., Painemal, D., Palikonda, R., Scarino, B.R., Spangenberg, D.A., Smith, R.A., Trepte, Q.Z., Yang, P., Xie, Y.,
CERES MODIS Cloud Product Retrievals for Edition 4: Part I: Algorithm Changes,
GeoRS(59), No. 4, April 2021, pp. 2744-2780.
IEEE DOI 2104
Clouds, MODIS, Integrated optics, Ice, Cloud computing, Meteorology, Optical imaging, Climate, cloud, cloud height, cloud particle size, validation BibRef

Yost, C.R.[Christopher R.], Minnis, P.[Patrick], Sun-Mack, S.[Sunny], Chen, Y.[Yan], Smith, W.L.[William L.],
CERES MODIS Cloud Product Retrievals for Edition 4: Part II: Comparisons to CloudSat and CALIPSO,
GeoRS(59), No. 5, May 2021, pp. 3695-3724.
IEEE DOI 2104
Clouds, MODIS, Ice, Integrated optics, Optical imaging, Optical sensors, Laser radar, Climate, cloud height, validation BibRef

Gupta, R.[Rachana], Nanda, S.J.[Satyasai Jagannath],
Improved framework of many-objective evolutionary algorithm to handle cloud detection problem in satellite imagery,
IET-IPR(14), No. 17, 24 December 2020, pp. 4795-4807.
DOI Link 2104
BibRef

Xiong, Q.[Quan], Di, L.P.[Li-Ping], Feng, Q.L.[Quan-Long], Liu, D.Y.[Di-You], Liu, W.[Wei], Zan, X.L.[Xu-Li], Zhang, L.[Lin], Zhu, D.H.[De-Hai], Liu, Z.[Zhe], Yao, X.C.[Xiao-Chuang], Zhang, X.D.[Xiao-Dong],
Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ding, N.[Ning], Shao, J.B.[Jian-Bing], Yan, C.X.[Chang-Xiang], Zhang, J.Q.[Jun-Qiang], Qiao, Y.F.[Yan-Feng], Pan, Y.[Yun], Yuan, J.[Jing], Dong, Y.Z.[You-Zhi], Yu, B.[Bo],
Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Luotamo, M.[Markku], Metsämäki, S.[Sari], Klami, A.[Arto],
Multiscale Cloud Detection in Remote Sensing Images Using a Dual Convolutional Neural Network,
GeoRS(59), No. 6, June 2021, pp. 4972-4983.
IEEE DOI 2106
Clouds, Image segmentation, Cloud computing, Semantics, Remote sensing, Image resolution, Annotations, Cloud detection BibRef

Zhang, Q.[Qiang], Yuan, Q.Q.[Qiang-Qiang], Li, Z.W.[Zhi-Wei], Sun, F.J.[Fu-Jun], Zhang, L.P.[Liang-Pei],
Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images,
PandRS(177), 2021, pp. 161-173.
Elsevier DOI 2106
Thick cloud removal, Multitemporal images, Spatio-temporal, Low-rank tensor SVD, Deep prior BibRef

Ebel, P.[Patrick], Meraner, A.[Andrea], Schmitt, M.[Michael], Zhu, X.X.[Xiao Xiang],
Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery,
GeoRS(59), No. 7, July 2021, pp. 5866-5878.
IEEE DOI 2106
Clouds, Optical imaging, Cloud computing, Earth, Optical sensors, Data integration, Image reconstruction, Cloud removal, data fusion, synthetic aperture radar (SAR)-optical BibRef

Zheng, K.[Kai], Li, J.S.[Jian-Sheng], Ding, L.[Lei], Yang, J.F.[Jian-Feng], Zhang, X.C.[Xu-Cheng], Zhang, X.[Xun],
Cloud and Snow Segmentation in Satellite Images Using an Encoder-Decoder Deep Convolutional Neural Networks,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Zheng, J.H.[Jia-Hao], Liu, X.Y.[Xiao-Yang], Wang, X.D.[Xiao-Dong],
Single Image Cloud Removal Using U-Net and Generative Adversarial Networks,
GeoRS(59), No. 8, August 2021, pp. 6371-6385.
IEEE DOI 2108
Clouds, Image restoration, Satellites, Cloud computing, Task analysis, Visualization, Sensors, Encoder-decoder, U-Net BibRef

Yao, J.Q.[Jia-Qi], Tang, X.M.[Xin-Ming], Li, G.Y.[Guo-Yuan], Guo, J.Q.[Jin-Quan], Chen, J.[Jiyi], Yang, X.D.[Xiong-Dan], Ai, B.[Bo],
Cloud detection of GF-7 satellite laser footprint image,
IET-IPR(15), No. 10, 2021, pp. 2127-2134.
DOI Link 2108
BibRef

Li, X.L.[Xiao-Long], Zheng, H.[Hong], Han, C.Z.[Chuan-Zhao], Zheng, W.T.[Wen-Tao], Chen, H.[Hao], Jing, Y.[Ying], Dong, K.[Kaihan],
SFRS-Net: A Cloud-Detection Method Based on Deep Convolutional Neural Networks for GF-1 Remote-Sensing Images,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Lee, S.[Soobong], Choi, J.[Jaewan],
Daytime Cloud Detection Algorithm Based on a Multitemporal Dataset for GK-2A Imagery,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Ma, N.[Nan], Sun, L.[Lin], Zhou, C.H.[Cheng-Hu], He, Y.W.[Ya-Wen],
Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Yu, X.H.[Xiao-He], Lary, D.J.[David J.],
Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Li, W.B.[Wang-Bin], Sun, K.[Kaimin], Du, Z.T.[Zhuo-Tong], Hu, X.Q.[Xiu-Qing], Li, W.Z.[Wen-Zhuo], Wei, J.J.[Jin-Jiang], Gao, S.[Song],
PCNet: Cloud Detection in FY-3D True-Color Imagery Using Multi-Scale Pyramid Contextual Information,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Yao, X.D.[Xu-Dong], Guo, Q.[Qing], Li, A.[An],
Light-Weight Cloud Detection Network for Optical Remote Sensing Images with Attention-Based DeeplabV3+ Architecture,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wu, Z.W.[Zhi-Wen], Li, J.[Juan], Qin, Z.K.[Zheng-Kun],
Development and Evaluation of a New Method for AMSU-A Cloud Detection over Land,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Gao, J.[Jianhao], Yi, Y.[Yang], Wei, T.[Tang], Zhang, H.[Haoguan],
Sentinel-2 Cloud Removal Considering Ground Changes by Fusing Multitemporal SAR and Optical Images,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Domnich, M.[Marharyta], Sünter, I.[Indrek], Trofimov, H.[Heido], Wold, O.[Olga], Harun, F.[Fariha], Kostiukhin, A.[Anton], Järveoja, M.[Mihkel], Veske, M.[Mihkel], Tamm, T.[Tanel], Voormansik, K.[Kaupo], Olesk, A.[Aire], Boccia, V.[Valentina], Longepe, N.[Nicolas], Cadau, E.G.[Enrico Giuseppe],
KappaMask: AI-Based Cloudmask Processor for Sentinel-2,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Hu, K.[Kai], Zhang, D.S.[Dong-Sheng], Xia, M.[Min],
CDUNet: Cloud Detection UNet for Remote Sensing Imagery,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yang, X.M.[Xiao-Meng], Sun, L.[Lin], Tang, X.M.[Xin-Ming], Ai, B.[Bo], Xu, H.W.[Han-Wen], Wen, Z.[Zhen],
An Improved Fmask Method for Cloud Detection in GF-6 WFV Based on Spectral-Contextual Information,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Cao, R.[Ruyin], Feng, Y.[Yan], Chen, J.[Jin], Zhou, J.[Ji],
A Supplementary Module to Improve Accuracy of the Quality Assessment Band in Landsat Cloud Images,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Chen, Y.[Yang], Weng, Q.H.[Qi-Hao], Tang, L.[Luliang], Zhang, X.[Xia], Bilal, M.[Muhammad], Li, Q.Q.[Qing-Quan],
Thick Clouds Removing From Multitemporal Landsat Images Using Spatiotemporal Neural Networks,
GeoRS(60), 2022, pp. 1-14.
IEEE DOI 2112
Clouds, Remote sensing, Earth, Artificial satellites, Spatiotemporal phenomena, Image reconstruction, spatial-temporal feature fusion BibRef

He, Q.B.[Qi-Bin], Sun, X.[Xian], Yan, Z.Y.[Zhi-Yuan], Fu, K.[Kun],
DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud Detection in Remote Sensing Images,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
Feature extraction, Remote sensing, Clouds, Convolutional codes, Computational modeling, Semantics, Adaptation models, remote sensing images BibRef

Christovam, L.E.[Luiz E.], Shimabukuro, M.H.[Milton H.], Galo, M.D.B.T.[Maria De_Lourdes B. T.], Honkavaara, E.[Eija],
Pix2pix Conditional Generative Adversarial Network with MLP Loss Function for Cloud Removal in a Cropland Time Series,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Zhou, Y.[Ying], Jing, W.P.[Wei-Peng], Wang, J.[Jian], Chen, G.S.[Guang-Sheng], Scherer, R.[Rafal], Damaševicius, R.[Robertas],
MSAR-DefogNet: Lightweight cloud removal network for high resolution remote sensing images based on multi scale convolution,
IET-IPR(16), No. 3, 2022, pp. 659-668.
DOI Link 2202
BibRef

Choi, Y.J.[Yun-Jeong], Ban, H.J.[Hyun-Ju], Han, H.J.[Hee-Jeong], Hong, S.[Sungwook],
A Maritime Cloud-Detection Method Using Visible and Near-Infrared Bands over the Yellow Sea and Bohai Sea,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Sui, S.[Songman], Sun, L.[Lin],
Comparative Analysis of Several Typical Landsat 8 OLI Cloud Detection Methods,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Paszkuta, M.[Marcin], Krezel, A.[Adam], Rylko, N.[Natalia],
Application of Shape Moments for Cloudiness Assessment in Marine Environmental Research,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Wu, K.[Kang], Xu, Z.X.[Zun-Xiao], Lyu, X.R.[Xin-Rong], Ren, P.[Peng],
Cloud detection with boundary nets,
PandRS(186), 2022, pp. 218-231.
Elsevier DOI 2203
Cloud detection, Boundary nets BibRef

Czerkawski, M.[Mikolaj], Upadhyay, P.[Priti], Davison, C.[Christopher], Werkmeister, A.[Astrid], Cardona, J.[Javier], Atkinson, R.[Robert], Michie, C.[Craig], Andonovic, I.[Ivan], Macdonald, M.[Malcolm], Tachtatzis, C.[Christos],
Deep Internal Learning for Inpainting of Cloud-Affected Regions in Satellite Imagery,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef
And: Correction: RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, Y.X.[Yu-Xi], Lin, Z.H.[Zhao-Hui], Wu, C.L.[Cheng-Lai],
Comparison of the Spatial and Temporal Variability of Cloud Amounts over China Derived from Different Satellite Datasets,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Luo, C.[Chen], Feng, S.S.[Shan-Shan], Li, X.T.[Xu-Tao], Ye, Y.M.[Yun-Ming], Zhang, B.Q.[Bao-Quan], Chen, Z.H.[Zhi-Hao], Quan, Y.L.[Ying-Ling],
ECDNet: A bilateral lightweight cloud detection network for remote sensing images,
PR(129), 2022, pp. 108713.
Elsevier DOI 2206
Lightweight network, Efficient cloud detection, Dual-branch architecture BibRef

Guo, J.H.[Jian-Hua], Xu, Q.S.[Qing-Song], Zeng, Y.[Yue], Liu, Z.H.[Zhi-Heng], Zhu, X.X.[Xiao-Xiang],
Semi-Supervised Cloud Detection in Satellite Images by Considering the Domain Shift Problem,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Liu, L.[Lei], Ye, J.[Jin], Li, S.[Shulei], Hu, S.[Shuai], Wang, Q.[Qi],
A Novel Machine Learning Algorithm for Cloud Detection Using AERI Measurement Data,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Chen, S.J.[Shan-Jing], Zhang, W.J.[Wen-Juan], Li, Z.[Zhen], Wang, Y.X.[Yu-Xi], Zhang, B.[Bing],
Cloud Removal with SAR-Optical Data Fusion and Graph-Based Feature Aggregation Network,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Pitonak, R.[Radoslav], Mucha, J.[Jan], Dobis, L.[Lukas], Javorka, M.[Martin], Marusin, M.[Marek],
CloudSatNet-1: FPGA-Based Hardware-Accelerated Quantized CNN for Satellite On-Board Cloud Coverage Classification,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Guo, Q.[Qing], Tong, L.Z.[Lian-Zi], Yao, X.D.[Xu-Dong], Wu, Y.W.[Ye-Wei], Wan, G.T.[Guang-Tong],
CD_HIEFNet: Cloud Detection Network Using Haze Optimized Transformation Index and Edge Feature for Optical Remote Sensing Imagery,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Yan, Q.[Qing], Liu, H.[Hu], Zhang, J.J.[Jing-Jing], Sun, X.B.[Xia-Bing], Xiong, W.[Wei], Zou, M.M.[Ming-Min], Xia, Y.[Yi], Xun, L.[Lina],
Cloud Detection of Remote Sensing Image Based on Multi-Scale Data and Dual-Channel Attention Mechanism,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Xu, F.[Fang], Shi, Y.L.[Yi-Lei], Ebel, P.[Patrick], Yu, L.[Lei], Xia, G.S.[Gui-Song], Yang, W.[Wen], Zhu, X.X.[Xiao Xiang],
GLF-CR: SAR-enhanced cloud removal with global-local fusion,
PandRS(192), 2022, pp. 268-278.
Elsevier DOI 2209
Cloud removal, Data fusion, SAR, Transformer BibRef

Ran, Y.Z.[Yin-Ze], Ma, H.Y.[Hui-Yun], Liu, Z.W.[Zeng-Wei], Wu, X.J.[Xiao-Jing], Li, Y.[Yanan], Feng, H.H.[Hui-Hui],
Satellite Fog Detection at Dawn and Dusk Based on the Deep Learning Algorithm under Terrain-Restriction,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Pu, W.H.[Wei-Hua], Wang, Z.P.[Zhi-Pan], Liu, D.[Di], Zhang, Q.L.[Qing-Ling],
Optical Remote Sensing Image Cloud Detection with Self-Attention and Spatial Pyramid Pooling Fusion,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Lin, Y.[Yi], He, L.[Lin], Zhang, Y.[Yi], Wu, Z.C.[Zhao-Cong],
Cloud Detection of Gaofen-2 Multi-Spectral Imagery Based on the Modified Radiation Transmittance Map,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Imran, S.[Shoaib], Tahir, M.[Muhammad], Khalid, Z.[Zubair], Uppal, M.[Momin],
A Deep Unfolded Prior-Aided RPCA Network for Cloud Removal,
SPLetters(29), 2022, pp. 2048-2052.
IEEE DOI 2210
Sparse matrices, Image reconstruction, Remote sensing, Optical sensors, Optical imaging, Earth, Minimization, Cloud removal, shadow removal BibRef

Li, X.M.[Xue-Mei], Ye, H.P.[Hu-Ping], Qiu, S.[Shi],
Cloud Contaminated Multispectral Remote Sensing Image Enhancement Algorithm Based on MobileNet,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Bai, C.[Cong], Zhang, M.J.[Min-Jing], Zhang, J.L.[Jing-Lin], Zheng, J.W.[Jian-Wei], Chen, S.Y.[Sheng-Yong],
LSCIDMR: Large-Scale Satellite Cloud Image Database for Meteorological Research,
Cyber(52), No. 11, November 2022, pp. 12538-12550.
IEEE DOI 2211
Clouds, Satellites, Meteorology, Databases, Annotations, Deep learning, Cloud computing, Benchmark database, cloud image, deep learning, single and multiple labels BibRef

Pešek, O.[Ondrej], Segal-Rozenhaimer, M.[Michal], Karnieli, A.[Arnon],
Using Convolutional Neural Networks for Cloud Detection on VENnuS Images over Multiple Land-Cover Types,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Wang, R.[Ruifu], Teng, D.D.[Dong-Dong], Yu, W.Q.[Wen-Qing], Zhang, X.[Xi], Zhu, J.[Jinshan],
Improvement and Application of a GAN Model for Time Series Image Prediction: A Case Study of Time Series Satellite Cloud Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Noh, Y.J.[Yoo-Jeong], Haynes, J.M.[John M.], Miller, S.D.[Steven D.], Seaman, C.J.[Curtis J.], Heidinger, A.K.[Andrew K.], Weinrich, J.[Jeffrey], Kulie, M.S.[Mark S.], Niznik, M.[Mattie], Daub, B.J.[Brandon J.],
A Framework for Satellite-Based 3D Cloud Data: An Overview of the VIIRS Cloud Base Height Retrieval and User Engagement for Aviation Applications,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Salazar, C.[Carlos], Gonzalez-Llorente, J.[Jesus], Cardenas, L.[Lorena], Mendez, J.[Javier], Rincon, S.[Sonia], Rodriguez-Ferreira, J.[Julian], Acero, I.F.[Ignacio F.],
Cloud Detection Autonomous System Based on Machine Learning and COTS Components On-Board Small Satellites,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wu, P.Y.[Pei-Yang], Pan, Z.X.[Zong-Xu], Tang, H.R.[Hai-Rong], Hu, Y.X.[Yu-Xin],
Cloudformer: A Cloud-Removal Network Combining Self-Attention Mechanism and Convolution,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Ge, K.Q.[Kai-Qiang], Liu, J.Y.[Jia-Yin], Wang, F.[Feng], Chen, B.[Bo], Hu, Y.X.[Yu-Xin],
A Cloud Detection Method Based on Spectral and Gradient Features for SDGSAT-1 Multispectral Images,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Ma, D.Y.[De-Ying], Wu, R.Z.[Ren-Zhe], Xiao, D.S.[Dong-Sheng], Sui, B.[Baikai],
Cloud Removal from Satellite Images Using a Deep Learning Model with the Cloud-Matting Method,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Xiong, Q.[Quan], Li, G.Q.[Guo-Qing], Yao, X.C.[Xiao-Chuang], Zhang, X.D.[Xiao-Dong],
SAR-to-Optical Image Translation and Cloud Removal Based on Conditional Generative Adversarial Networks: Literature Survey, Taxonomy, Evaluation Indicators, Limits and Future Directions,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Xia, P.[Pan], Min, M.[Min], Yu, Y.[Yu], Wang, Y.[Yun], Zhang, L.[Lu],
Developing a near Real-Time Cloud Cover Retrieval Algorithm Using Geostationary Satellite Observations for Photovoltaic Plants,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Pang, S.[Shulin], Sun, L.[Lin], Tian, Y.[Yanan], Ma, Y.[Yutiao], Wei, J.[Jing],
Convolutional Neural Network-Driven Improvements in Global Cloud Detection for Landsat 8 and Transfer Learning on Sentinel-2 Imagery,
RS(15), No. 6, 2023, pp. 1706.
DOI Link 2304
BibRef

Larosa, S.[Salvatore], Cimini, D.[Domenico], Gallucci, D.[Donatello], di Paola, F.[Francesco], Nilo, S.T.[Saverio Teodosio], Ricciardelli, E.[Elisabetta], Ripepi, E.[Ermann], Romano, F.[Filomena],
A Cloud Detection Neural Network Approach for the Next Generation Microwave Sounder Aboard EPS MetOp-SG A1,
RS(15), No. 7, 2023, pp. 1798.
DOI Link 2304
BibRef

Liao, L.C.[Ling-Cen], Liu, W.[Wei], Liu, S.B.[Shi-Bin],
Effect of Bit Depth on Cloud Segmentation of Remote-Sensing Images,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Zhao, X.[Xiaohu], Jia, K.[Kebin],
Cloud Removal in Remote Sensing Using Sequential-Based Diffusion Models,
RS(15), No. 11, 2023, pp. 2861.
DOI Link 2306
BibRef

Massetti, L.[Luciano], Materassi, A.[Alessandro], Sabatini, F.[Francesco],
NSKY-CD: A System for Cloud Detection Based on Night Sky Brightness and Sky Temperature,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Ding, Y.H.[Yu-Hao], Liu, Q.[Qi], Lao, P.[Ping], Li, M.[Meng], Li, Y.[Yuan], Zheng, Q.[Qun], Peng, Y.H.[Yang-Hui],
Spatial Distributions of Cloud Occurrences in Terms of Volume Fraction as Inferred from CloudSat and CALIPSO,
RS(15), No. 16, 2023, pp. 3978.
DOI Link 2309
BibRef

Zhang, Y.[Yu], Ji, L.[Luyan], Xu, X.[Xunpeng], Zhang, P.[Peng], Jiang, K.[Kang], Tang, H.R.[Hai-Rong],
A Flexible Spatiotemporal Thick Cloud Removal Method with Low Requirements for Reference Images,
RS(15), No. 17, 2023, pp. 4306.
DOI Link 2310
BibRef

Zhang, S.[Shuai], Li, X.D.[Xiao-Di], Zhou, X.Y.[Xing-Yu], Wang, Y.N.[Yu-Ning], Hu, Y.[Yue],
Cloud removal using SAR and optical images via attention mechanism-based GAN,
PRL(175), 2023, pp. 8-15.
Elsevier DOI 2311
Remote sensing, Cloud removal, SAR, Generative adversarial network BibRef

Dong, S.J.[Shao-Jin], Gong, C.[Cailan], Hu, Y.[Yong], Zheng, F.Q.[Fu-Qiang], He, Z.J.[Zhi-Jie],
Polar Cloud Detection of FengYun-3D Medium Resolution Spectral Imager II Imagery Based on the Radiative Transfer Model,
RS(15), No. 21, 2023, pp. 5221.
DOI Link 2311
BibRef

Gong, C.J.[Cheng-Juan], Long, T.F.[Teng-Fei], Yin, R.[Ranyu], Jiao, W.[Weili], Wang, G.Z.[Gui-Zhou],
A Hybrid Algorithm with Swin Transformer and Convolution for Cloud Detection,
RS(15), No. 21, 2023, pp. 5264.
DOI Link 2311
BibRef

Jia, J.H.[Jun-Hao], Pan, M.Z.[Ming-Zhong], Li, Y.[Yaowei], Yin, Y.C.[Yan-Chao], Chen, S.M.[Sheng-Mei], Qu, H.J.[Hong-Jia], Chen, X.X.[Xiao-Xuan], Jiang, B.[Bo],
GLTF-Net: Deep-Learning Network for Thick Cloud Removal of Remote Sensing Images via Global-Local Temporality and Features,
RS(15), No. 21, 2023, pp. 5145.
DOI Link 2311
BibRef

Chang, H.[Hao], Fan, X.[Xin], Huo, L.Z.[Lian-Zhi], Hu, C.M.[Chang-Miao],
Improving Cloud Detection in WFV Images Onboard Chinese GF-1/6 Satellite,
RS(15), No. 21, 2023, pp. 5229.
DOI Link 2311
BibRef

Ding, L.[Li], Xia, M.[Min], Lin, H.F.[Hai-Feng], Hu, K.[Kai],
Multi-Level Attention Interactive Network for Cloud and Snow Detection Segmentation,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Xu, S.[Shuang], Wang, J.L.[Ji-Long], Wang, J.L.[Jia-Lin],
Fast Thick Cloud Removal for Multi-Temporal Remote Sensing Imagery via Representation Coefficient Total Variation,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Ma, J.Y.[Jie-Ying], Liao, Y.[Yi], Guan, L.[Li],
A Cloud Detection Algorithm Based on FY-4A/GIIRS Infrared Hyperspectral Observations,
RS(16), No. 3, 2024, pp. 481.
DOI Link 2402
BibRef

Yang, X.H.[Xiu-Hong], Gou, T.K.[Tian-Kun], Lv, Z.Y.[Zhi-Yong], Li, L.[Leida], Jin, H.Y.[Hai-Yan],
Weakly-supervised cloud detection and effective cloud removal for remote sensing images,
JVCIR(98), 2024, pp. 104006.
Elsevier DOI 2402
Cloud detection, Cloud removal, Markov discriminator, Priority-driven reconstruction loss BibRef

Borsdorff, T.[Tobias], Martinez-Velarte, M.C.[Mari C.], Sneep, M.[Maarten], ter Linden, M.[Mark], Landgraf, J.[Jochen],
Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product,
RS(16), No. 7, 2024, pp. 1208.
DOI Link 2404
BibRef

Sun, D.L.[Dong-Lin], Ji, T.Y.[Teng-Yu], Ding, M.[Meng],
A New Sparse Collaborative Low-Rank Prior Knowledge Representation for Thick Cloud Removal in Remote Sensing Images,
RS(16), No. 9, 2024, pp. 1518.
DOI Link 2405
BibRef

Yu, H.X.[Hai-Xiao], Sun, X.B.[Xia-Bing], Tu, B.[Bihai], Ti, R.F.[Ru-Fang], Ma, J.[Jinji], Hong, J.[Jin], Chen, C.[Cheng], Liu, X.[Xiao], Huang, H.L.[Hong-Lian], Wang, Z.L.[Ze-Ling], Ahmad, S.[Safura], Wang, Y.[Yi], Fan, Y.Z.[Yi-Zhe], Li, Y.Q.[Yi-Qi], Wei, Y.C.[Yi-Chen], Wang, Y.X.[Yu-Xuan], Wang, Y.Y.[Yu-Yao],
Towards multi-views cloud retrieval accounting for the 3-D structure collected by directional polarization camera,
PandRS(212), 2024, pp. 146-163.
Elsevier DOI 2406
DPC, Multi-views, Cloud structure, Stereoscopic observation, 3-D positioning BibRef

He, M.Y.[Ming-Yuan], Zhang, J.[Jie],
Radiation Feature Fusion Dual-Attention Cloud Segmentation Network,
RS(16), No. 11, 2024, pp. 2025.
DOI Link 2406
BibRef

Alonso-Sarria, F.[Francisco], Valdivieso-Ros, C.[Carmen], Gomariz-Castillo, F.[Francisco],
Imagery Time Series Cloud Removal and Classification Using Long Short Term Memory Neural Networks,
RS(16), No. 12, 2024, pp. 2150.
DOI Link 2406
BibRef

Jin, X.Y.[Xian-Yu], He, J.[Jiang], Xiao, Y.[Yi], Lihe, Z.Y.[Zi-Yang], Liao, X.[Xusi], Li, J.[Jie], Yuan, Q.Q.[Qiang-Qiang],
RFE-VCR: Reference-enhanced transformer for remote sensing video cloud removal,
PandRS(214), 2024, pp. 179-192.
Elsevier DOI Code:
WWW Link. 2407
Deep learning, Satellite videos, Video inpainting, Cloud removal BibRef

Xu, F.[Fang], Shi, Y.L.[Yi-Lei], Yang, W.[Wen], Xia, G.S.[Gui-Song], Zhu, X.X.[Xiao Xiang],
CloudSeg: A multi-modal learning framework for robust land cover mapping under cloudy conditions,
PandRS(214), 2024, pp. 21-32.
Elsevier DOI Code:
WWW Link. 2407
Land cover mapping, Cloud removal, Optical-SAR fusion, Multi-task learning, Knowledge distillation BibRef

Yang, J.Y.[Jing-Yuan], Qiu, Z.F.[Zhong-Feng], Zhao, D.Z.[Dong-Zhi], Song, B.[Biao], Liu, J.[Jiayu], Wang, Y.[Yu], Liao, K.[Kuo], Li, K.L.[Kai-Lin],
CACM-Net: Daytime Cloud Mask for AGRI Onboard the FY-4A Satellite,
RS(16), No. 14, 2024, pp. 2660.
DOI Link 2408
BibRef

Wu, C.F.[Cai-Feng], Xu, F.[Feng], Li, X.[Xin], Wang, X.Y.[Xin-Yuan], Xu, Z.N.[Zhen-Nan], Fang, Y.W.[Yi-Wei], Lyu, X.[Xin],
Multi-Stage Frequency Attention Network for Progressive Optical Remote Sensing Cloud Removal,
RS(16), No. 15, 2024, pp. 2867.
DOI Link 2408
BibRef

Luo, C.[Chen], Feng, S.S.[Shan-Shan], Quan, Y.[YingLing], Ye, Y.M.[Yun-Ming], Xu, Y.[Yong], Li, X.[Xutao], Zhang, B.Q.[Bao-Quan],
AMANet: An Adaptive Memory Attention Network for video cloud detection,
PR(155), 2024, pp. 110616.
Elsevier DOI 2408
Lightweight network, Efficient video cloud detection, FY-4A BibRef

Romano, F.[Filomena], Cimini, D.[Domenico], di Paola, F.[Francesco], Gallucci, D.[Donatello], Larosa, S.[Salvatore], Nilo, S.T.[Saverio Teodosio], Ricciardelli, E.[Elisabetta], Iisager, B.D.[Barbara D.], Hutchison, K.[Keith],
The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals,
RS(16), No. 14, 2024, pp. 2578.
DOI Link 2408
BibRef

Arp, L.[Laurens], Hoos, H.[Holger], van Bodegom, P.[Peter], Francis, A.[Alistair], Wheeler, J.[James], van Laar, D.[Dean], Baratchi, M.[Mitra],
Training-free thick cloud removal for Sentinel-2 imagery using value propagation interpolation,
PandRS(216), 2024, pp. 168-184.
Elsevier DOI 2408
Cloud removal, Spatial interpolation, Multispectral data, Training-free, Artificial intelligence BibRef

Zhang, W.[Wenyi], Zhang, H.R.[Hao-Ran], Zhang, X.[Xisheng], Shen, X.H.[Xiao-Hua], Zou, L.[Lejun],
A Lightweight Machine-Learning Method for Cloud Removal in Remote Sensing Images Constrained by Conditional Information,
RS(16), No. 17, 2024, pp. 3134.
DOI Link 2409
BibRef

Du, A.[Andrew], Doan, A.D.[Anh-Dzung], Law, Y.W.[Yee Wei], Chin, T.J.[Tat-Jun],
Domain Adaptation for Satellite-Borne Multispectral Cloud Detection,
RS(16), No. 18, 2024, pp. 3469.
DOI Link 2410
BibRef

Wang, K.[Keyan], Jia, J.[Jia], Zhou, P.C.[Pei-Cheng], Ma, H.[Haoyi], Yang, L.Y.[Li-Yun], Liu, K.[Kai], Li, Y.S.[Yun-Song],
Efficient On-Board Compression for Arbitrary-Shaped Cloud-Covered Remote Sensing Images via Adaptive Filling and Controllable Quantization,
RS(16), No. 18, 2024, pp. 3431.
DOI Link 2410
BibRef

Yang, X.[Xian], Zhao, Y.F.[Yi-Fan], Vatsavai, R.R.[Ranga Raju],
Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery,
ICPR22(643-649)
IEEE DOI 2212
Earth, Deep learning, Cloud computing, Satellites, Clouds, Benchmark testing, Data models BibRef

Sarukkai, V., Jain, A., Uzkent, B., Ermon, S.,
Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks,
WACV20(1785-1794)
IEEE DOI 2006
Clouds, Satellites, Agriculture, Spatiotemporal phenomena, Generators, Feature extraction BibRef

Zou, Z., Li, W., Shi, T., Shi, Z., Ye, J.,
Generative Adversarial Training for Weakly Supervised Cloud Matting,
ICCV19(201-210)
IEEE DOI 2004
clouds, geophysical image processing, image classification, image colour analysis, image segmentation, Generative adversarial networks BibRef

Mohajerani, S., Asad, R., Abhishek, K., Sharma, N., Duynhoven, A.v., Saeedi, P.,
Cloudmaskgan: A Content-Aware Unpaired Image-To-Image Translation Algorithm for Remote Sensing Imagery,
ICIP19(1965-1969)
IEEE DOI 1910
Cloud detection, Landsat 8, remote sensing imagery, unpaired image-to-image translation BibRef

Lee, K., Sim, J.,
Cloud Removal of Satellite Images Using Convolutional Neural Network With Reliable Cloudy Image Synthesis Model,
ICIP19(3581-3585)
IEEE DOI 1910
Cloud removal, satellite image, convolutional neural network BibRef

Yuan, K., Meng, G., Cheng, D., Bai, J., Xiang, S., Pan, C.,
Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy,
ICIP17(61-65)
IEEE DOI 1803
clouds, edge detection, geophysical image processing, image segmentation, neural nets, remote sensing, Google Earth, Segmentation network BibRef

Dev, S., Savoy, F.M., Lee, Y.H., Winkler, S.,
Nighttime sky/cloud image segmentation,
ICIP17(345-349)
IEEE DOI 1803
clouds, geophysical image processing, image segmentation, remote sensing, atmospheric phenomena, sky imagers BibRef

Chang, M.C., Yao, Y., Li, G., Tong, Y., Tu, P.,
Cloud tracking for solar irradiance prediction,
ICIP17(4387-4391)
IEEE DOI 1803
Cameras, Estimation, Image segmentation, Motion segmentation, Optical imaging, Sun, Tracking, back projection, cloud tracking, solar irradiance prediction BibRef