8.3.12.2 Cloud Identification, Cloud Type, Cloud Properties

Chapter Contents (Back)
Cloud Identification.

Brocard, E., Schneebeli, M., Matzler, C.,
Detection of Cirrus Clouds Using Infrared Radiometry,
GeoRS(49), No. 2, February 2011, pp. 595-602.
IEEE DOI 1102
BibRef

Ou, S.S.C., Kahn, B.H., Liou, K.N., Takano, Y., Schreier, M.M., Yue, Q.,
Retrieval of Cirrus Cloud Properties From the Atmospheric Infrared Sounder: The k-Coefficient Approach Using Cloud-Cleared Radiances as Input,
GeoRS(51), No. 2, February 2013, pp. 1010-1024.
IEEE DOI 1302
BibRef

Musial, J.P.[Jan Pawel], Hüsler, F.[Fabia], Sütterlin, M.[Melanie], Neuhaus, C.[Christoph], Wunderle, S.[Stefan],
Daytime Low Stratiform Cloud Detection on AVHRR Imagery,
RS(6), No. 6, 2014, pp. 5124-5150.
DOI Link 1407
BibRef

Jin, W.[Wei], Wang, L.[Lei], Zeng, X.[Xingbin], Liu, Z.[Zhen], Fu, R.[Randi],
Classification of clouds in satellite imagery using over-complete dictionary via sparse representation,
PRL(49), No. 1, 2014, pp. 193-200.
Elsevier DOI 1410
Over-complete dictionary BibRef

Yanovsky, I., Davis, A.B.,
Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images,
GeoRS(53), No. 5, May 2015, pp. 2275-2285.
IEEE DOI 1502
atmospheric techniques BibRef

Kovalskyy, V.[Valeriy], Roy, D.P.[David P.],
A One Year Landsat 8 Conterminous United States Study of Cirrus and Non-Cirrus Clouds,
RS(7), No. 1, 2015, pp. 564-578.
DOI Link 1502
BibRef

Heidinger, A.K.[Andrew K.], Li, Y.[Yue], Baum, B.A.[Bryan A.], Holz, R.E.[Robert E.], Platnick, S.[Steven], Yang, P.[Ping],
Retrieval of Cirrus Cloud Optical Depth under Day and Night Conditions from MODIS Collection 6 Cloud Property Data,
RS(7), No. 6, 2015, pp. 7257.
DOI Link 1507
BibRef

Romano, F.[Filomena], Cimini, D.[Domenico], Nilo, S.T.[Saverio T.], Paola, F.D.[Francesco Di], Ricciardelli, E.[Elisabetta], Ripepi, E.[Ermann], Viggiano, M.[Mariassunta],
The Role of Emissivity in the Detection of Arctic Night Clouds,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Ye, L.[Liang], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang],
DeepCloud: Ground-Based Cloud Image Categorization Using Deep Convolutional Features,
GeoRS(55), No. 10, October 2017, pp. 5729-5740.
IEEE DOI 1710
cloud image feature extraction approach, deep convolutional features, ground-based cloud image categorization, BibRef

Ye, L.[Liang], Cao, Z.G.[Zhi-Guo], Xiao, Y.[Yang], Li, W.[Wei],
Ground-based cloud image categorization using deep convolutional visual features,
ICIP15(4808-4812)
IEEE DOI 1512
Fisher Vector BibRef

Müller, R.[Richard], Haussler, S.[Stephane], Jerg, M.[Matthias],
The Role of NWP Filter for the Satellite Based Detection of Cumulonimbus Clouds,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Dai, G.Y.[Guang-Yao], Wu, S.H.[Song-Hua], Song, X.Q.[Xiao-Quan], Liu, L.P.[Li-Ping],
Optical and Geometrical Properties of Cirrus Clouds over the Tibetan Plateau Measured by LiDAR and Radiosonde Sounding during the Summertime in 2014,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Lyu, Y.X.[Yu-Xiao], Peng, L.B.[Ling-Bing], Pu, T.[Tian], Yang, C.P.[Chun-Ping], Wang, J.[Jun], Peng, Z.M.[Zhen-Ming],
Cirrus Detection Based on RPCA and Fractal Dictionary Learning in Infrared imagery,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Schläpfer, D.[Daniel], Richter, R.[Rudolf], Reinartz, P.[Peter],
Elevation-Dependent Removal of Cirrus Clouds in Satellite Imagery,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Chen, S.[Sijie], Cheng, C.H.[Chong-Hui], Zhang, X.Y.[Xing-Ying], Su, L.[Lin], Tong, B.[Bowen], Dong, C.Z.[Chang-Zhe], Wang, F.[Fu], Chen, B.L.[Bing-Long], Chen, W.B.[Wei-Biao], Liu, D.[Dong],
Construction of Nighttime Cloud Layer Height and Classification of Cloud Types,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Magurno, D.[Davide], Cossich, W.[William], Maestri, T.[Tiziano], Bantges, R.[Richard], Brindley, H.[Helen], Fox, S.[Stuart], Harlow, C.[Chawn], Murray, J.[Jonathan], Pickering, J.[Juliet], Warwick, L.[Laura], Oetjen, H.[Hilke],
Cirrus Cloud Identification from Airborne Far-Infrared and Mid-Infrared Spectra,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Cheng, C.[Chong], Yi, F.[Fan],
Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Hung, M.P.[Meng-Pai], Chen, W.T.[Wei-Ting], Wu, C.M.[Chien-Ming], Chen, P.J.[Peng-Jen], Feng, P.N.[Pei-Ning],
Intraseasonal Vertical Cloud Regimes Based on CloudSat Observations over the Tropics,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Zhang, M.T.[Man-Ting], Teng, S.[Shiwen], Di, D.[Di], Hu, X.Q.[Xiu-Qing], Letu, H.[Husi], Min, M.[Min], Liu, C.[Chao],
Information Content of Ice Cloud Properties from Multi-Spectral, -Angle and -Polarization Observations,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Fiolleau, T., Roca, R., Cloché, S., Bouniol, D., Raberanto, P.,
Homogenization of Geostationary Infrared Imager Channels for Cold Cloud Studies Using Megha-Tropiques/ScaRaB,
GeoRS(58), No. 9, September 2020, pp. 6609-6622.
IEEE DOI 2008
Calibration, Clouds, Satellite broadcasting, Instruments, Satellites, Temperature measurement, Spatial resolution, limb-darkening corrections BibRef

Chai, Y.J.[Ya-Jie], Fu, K.[Kun], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Yan, Z.Y.[Zhi-Yuan], Feng, Y.C.[Ying-Chao], Wang, L.[Lei],
Compact Cloud Detection with Bidirectional Self-Attention Knowledge Distillation,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Pan, H.L.[Hong-Lin], Wang, M.Z.[Min-Zhong], Kumar, K.R.[Kanike Raghavendra], Zhang, J.T.[Jian-Tao], Meng, L.[Lu],
A Decadal Global Climatology of Ice Cloud Fraction with Their Microphysical and Optical Properties Inferred from the CALIPSO and Reanalysis Data,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Wang, W.[Wei], Yi, F.[Fan], Liu, F.C.[Fu-Chao], Zhang, Y.P.[Yun-Peng], Yu, C.M.[Chang-Ming], Yin, Z.P.[Zhen-Ping],
Characteristics and Seasonal Variations of Cirrus Clouds from Polarization Lidar Observations at a 30°N Plain Site,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Sellitto, P.[Pasquale], Bucci, S.[Silvia], Legras, B.[Bernard],
Comparison of ISS-CATS and CALIPSO-CALIOP Characterization of High Clouds in the Tropics,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Meyer, K.[Kerry], Platnick, S.[Steven], Holz, R.[Robert], Dutcher, S.[Steve], Quinn, G.[Greg], Nagle, F.[Fred],
Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Platnick, S.[Steven], Meyer, K.[Kerry], Wind, G.[Galina], Holz, R.E.[Robert E.], Amarasinghe, N.[Nandana], Hubanks, P.A.[Paul A.], Marchant, B.[Benjamin], Dutcher, S.[Steven], Veglio, P.[Paolo],
The NASA MODIS-VIIRS Continuity Cloud Optical Properties Products,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Leonarski, L.[Lucie], Labonnote, L.C.[Laurent C.], Compiègne, M.[Mathieu], Vidot, J.[Jérôme], Baran, A.J.[Anthony J.], Dubuisson, P.[Philippe],
Potential of Hyperspectral Thermal Infrared Spaceborne Measurements to Retrieve Ice Cloud Physical Properties: Case Study of IASI and IASI-NG,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Choi, H.[Haklim], Liu, X.[Xiong], Abad, G.G.[Gonzalo Gonzalez], Seo, J.J.[Jong-Jin], Lee, K.M.[Kwang-Mog], Kim, J.[Jhoon],
A Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Jiménez, P.A.[Pedro A.], McCandless, T.[Tyler],
Exploring the Potential of Statistical Modeling to Retrieve the Cloud Base Height from Geostationary Satellites: Applications to the ABI Sensor on Board of the GOES-R Satellite Series,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Liu, L.[Lei], Weng, C.[Chensi], Li, S.[Shulei], Husi, L.[Letu], Hu, S.[Shuai], Dong, P.[Pingyi],
Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Kotarba, A.Z.[Andrzej Z.], Solecki, M.[Mateusz],
Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat-CALIPSO Radar-Lidar Observations,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Yang, J.H.[Jung-Hyun], Yoo, J.M.[Jung-Moon], Choi, Y.S.[Yong-Sang],
Advanced Dual-Satellite Method for Detection of Low Stratus and Fog near Japan at Dawn from FY-4A and Himawari-8,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Wen, X.[Xue], Pan, Z.X.[Zong-Xu], Hu, Y.X.[Yu-Xin], Liu, J.Y.[Jia-Yin],
Generative Adversarial Learning in YUV Color Space for Thin Cloud Removal on Satellite Imagery,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Xu, W.J.[Wen-Jing], Lyu, D.[Daren],
Evaluation of Cloud Mask and Cloud Top Height from Fengyun-4A with MODIS Cloud Retrievals over the Tibetan Plateau,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Romatschke, U.[Ulrike],
Melting Layer Detection and Observation with the NCAR Airborne W-Band Radar,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
In clouds. BibRef

Dror, T.[Tom], Koren, I.[Ilan], Altaratz, O.[Orit], Heiblum, R.H.[Reuven H.],
On the Abundance and Common Properties of Continental, Organized Shallow (Green) Clouds,
GeoRS(59), No. 6, June 2021, pp. 4570-4578.
IEEE DOI 2106
Clouds, Meteorology, MODIS, Europe, Atmospheric modeling, Green products, Surface morphology, Cloud classification, shallow cumulus BibRef

Tian, J.J.[Jing-Jing], Zhang, Y.[Yunyan], Klein, S.A.[Stephen A.], Wang, L.[Likun], Öktem, R.[Rusen], Romps, D.M.[David M.],
Summertime Continental Shallow Cumulus Cloud Detection Using GOES-16 Satellite and Ground-Based Stereo Cameras at the DOE ARM Southern Great Plains Site,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Zhao, D.[Dexin], Zhu, L.[Lin], Sun, H.F.[Hong-Fu], Li, J.[Jun], Wang, W.S.[Wei-Shi],
Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Cho, Y.[Yeonsoo], Park, S.J.[Sang-Jong], Kim, J.H.[Joo-Hong], Yeo, H.D.[Hui-Dong], Nam, J.Y.[Jih-Yun], Jun, S.Y.[Sang-Yoon], Kim, B.M.[Baek-Min], Kim, S.W.[Sang-Woo],
Investigating Wintertime Cloud Microphysical Properties and Their Relationship to Air Mass Advection at Ny-Ålesund, Svalbard Using the Synergy of a Cloud Radar-Ceilometer-Microwave Radiometer,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Dong, P.[Pingyi], Liu, L.[Lei], Li, S.[Shulei], Hu, S.[Shuai], Bu, L.[Lingbing],
Application of M5 Model Tree in Passive Remote Sensing of Thin Ice Cloud Microphysical Properties in Terahertz Region,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Yan, Y.F.[Ya-Fei], Liu, Y.M.[Yi-Min], Liu, X.L.[Xiao-Lin], Wang, X.C.[Xiao-Cong],
Effects of Cloud Microphysics on the Vertical Structures of Cloud Radiative Effects over the Tibetan Plateau and the Arctic,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Wang, Y.[Yi], Yang, P.[Ping], King, M.D.[Michael D.], Baum, B.A.[Bryan A.],
Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Zhuge, X.Y.[Xiao-Yong], Zou, X.L.[Xiao-Lei], Wang, Y.[Yuan],
AHI-Derived Daytime Cloud Optical/Microphysical Properties and Their Evaluations With the Collection-6.1 MOD06 Product,
GeoRS(59), No. 8, August 2021, pp. 6431-6450.
IEEE DOI 2108
Clouds, Cloud computing, Satellite broadcasting, MODIS, Optical imaging, Optical sensors, Meteorology, Moderate Resolution Imaging Spectroradiometer (MODIS) BibRef

Sinkevich, A.[Andrei], Boe, B.[Bruce], Pawar, S.I.[Sun-Il], Yang, J.[Jing], Abshaev, A.[Ali], Dovgaluk, Y.[Yulia], Gekkieva, J.[Julduz], Gopalakrishnan, V.[Venkatachalam], Kurov, A.[Alexander], Mikhailovskii, Y.[Yurii], Toropova, M.[Marina], Veremei, N.[Nikolai],
Investigation of Thundercloud Features in Different Regions,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Li, Q.H.[Qing-Hui], Sun, X.[Xuejin], Wang, X.L.[Xiao-Lei],
Reliability Evaluation of the Joint Observation of Cloud Top Height by FY-4A and HIMAWARI-8,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Ye, B.Y.[Bo-Young], Lee, G.W.[Gyu-Won],
Vertical Structure of Ice Clouds and Vertical Air Motion from Vertically Pointing Cloud Radar Measurements,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, Y.C.[Yin-Chao], Chen, S.[Su], Tan, W.[Wangshu], Chen, S.Y.[Si-Ying], Chen, H.[He], Guo, P.[Pan], Sun, Z.R.[Zhuo-Ran], Hu, R.[Rui], Xu, Q.Y.[Qing-Yue], Zhang, M.W.[Meng-Wei], Hao, W.[Wei], Bu, Z.C.[Zhi-Chao],
Retrieval of Water Cloud Optical and Microphysical Properties from Combined Multiwavelength Lidar and Radar Data,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Nakoudi, K.[Konstantina], Ritter, C.[Christoph], Stachlewska, I.S.[Iwona S.],
Properties of Cirrus Clouds over the European Arctic (Ny-Ålesund, Svalbard),
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Lee, J.H.[Jong-Hyuk], Shin, D.B.[Dong-Bin],
Algorithm for Improved Stereoscopic Cloud-Top Height Retrieval Based on Visible and Infrared Bands for Himawari-8 and FY-4A,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Boudala, F.S.[Faisal S.], Milbrandt, J.A.[Jason A.],
Evaluations of the Climatologies of Three Latest Cloud Satellite Products Based on Passive Sensors (ISCCP-H, Two CERES) against the CALIPSO-GOCCP,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wang, Z.J.[Zhan-Jie], Zhao, J.H.[Jiang-Hua], Zhang, R.[Ran], Li, Z.[Zheng], Lin, Q.H.[Qing-Hui], Wang, X.Z.[Xue-Zhi],
UATNet: U-Shape Attention-Based Transformer Net for Meteorological Satellite Cloud Recognition,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Yang, J.[Jing], Zhang, Y.[Yue], Wang, Z.[Zhien], Zhang, D.[Damao],
Cloud Type and Life Stage Dependency of Liquid-Ice Mass Partitioning in Mixed-Phase Clouds,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Yang, J.[Jing], Liu, E.[Enhong], Liu, Y.[Yubao], Lin, Y.J.[Yan-Jun], Yin, Y.[Yan], Jing, X.Q.[Xiao-Qin],
Impact of Vertical Wind Shear on Summer Orographic Clouds over Tian Shan Mountains: A Case Study Based on Radar Observation and Numerical Simulation,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Gao, P.[Pan], Wang, J.[Jun], Gao, Y.Z.[Yang-Zi], Liu, J.J.[Jing-Jing], Hua, D.X.[Deng-Xin],
Observation on the Droplet Ranging from 2 to 16 mu-m in Cloud Droplet Size Distribution Based on Digital Holography,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Jiang, Y.H.[Yu-Hang], Cheng, W.[Wei], Gao, F.[Feng], Zhang, S.Q.[Shao-Qing], Wang, S.D.[Shu-Dong], Liu, C.[Chang], Liu, J.J.[Juan-Juan],
A Cloud Classification Method Based on a Convolutional Neural Network for FY-4A Satellites,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Sapkota, R.[Rajendra], Sharma, P.[Puneet], Mann, I.[Ingrid],
Comparison of Deep Learning Models for the Classification of Noctilucent Cloud Images,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Jang, S.[Seonghyeon], Kim, J.G.[Jeong-Gyu], McFarquhar, G.M.[Greg M.], Park, S.[Sungmin], Han, S.[Suji], Lee, S.S.[Seoung Soo], Jung, C.H.[Chang Hoon], Jung, H.[Heejung], Chang, K.H.[Ki-Ho], Jung, W.[Woonseon], Um, J.[Junshik],
The Impacts of Single-Scattering and Microphysical Properties of Ice Particles Smaller Than 100 muM on the Bulk Radiative Properties of Tropical Cirrus,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Müller, R.[Richard], Barleben, A.[Axel], Haussler, S.[Stéphane], Jerg, M.[Matthias],
A Novel Approach for the Global Detection and Nowcasting of Deep Convection and Thunderstorms,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Boudala, F.S.[Faisal S.], Milbrandt, J.A.[Jason A.], Isaac, G.A.[George A.],
Evaluation of CanESM Cloudiness, Cloud Type and Cloud Radiative Forcing Climatologies Using the CALIPSO-GOCCP and CERES Datasets,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wan, X.[Xia], Zheng, J.F.[Jia-Feng], Wan, R.[Rong], Xu, G.R.[Gui-Rong], Qin, J.F.[Jian-Feng], Yi, L.[Lan],
Intercomparison of Cloud Vertical Structures over Four Different Sites of the Eastern Slope of the Tibetan Plateau in Summer Using Ka-Band Millimeter-Wave Radar Measurements,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Xu, Z.X.[Zun-Xiao], Wu, K.[Kang], Wang, W.[Wuli], Lyu, X.R.[Xin-Rong], Ren, P.[Peng],
Semi-supervised thin cloud removal with mutually beneficial guides,
PandRS(192), 2022, pp. 327-343.
Elsevier DOI 2209
Thin cloud removal, Semi-supervised learning, Mutually beneficial guides BibRef

Yuan, Y.[Yun], Di, H.[Huige], Liu, Y.Y.[Yuan-Yuan], Cheng, D.M.[Dan-Min], Chen, N.[Ning], Yan, Q.[Qing], Hua, D.X.[Deng-Xin],
Confidence and Error Analyses of the Radiosonde and Ka-Wavelength Cloud Radar for Detecting the Cloud Vertical Structure,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef


Loeub, T.[Tamar], Levis, A.[Aviad], Holodovsky, V.[Vadim], Schechner, Y.Y.[Yoav Y.],
Monotonicity Prior for Cloud Tomography,
ECCV20(XVIII:283-299).
Springer DOI 2012
Variations of droplets within the cloud. BibRef

Bernecker, D.[David], Riess, C.[Christian], Christlein, V.[Vincent], Angelopoulou, E.[Elli],
Representation Learning for Cloud Classification,
GCPR13(395-404).
Springer DOI 1311
BibRef

Richards, K., Sullivan, G.D.,
Colour and Texture in Cloud Identification: An Experimental Comparison of Neural Network and Bayesian Methods,
BMVC93(xx-yy).
PDF File. 9309
BibRef
Earlier:
Estimation of Cloud Cover Using Colour and Texture,
BMVC92(xx-yy).
PDF File. 9209
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Segmentation by Region Growing Techniques .


Last update:Sep 28, 2022 at 16:10:08