15.2.13.14 Atmospheric Corrections for Remote Sensing, Satellite and Space Images

Chapter Contents (Back)
Camera Calibration. Camera Calibration, Radiometric. Atmospheric Correction.
See also Super Resolution, Restoration, for Atmosphere Effects, Turbulence.
See also Color, Multispectral, Multi-Channel Restoration.
See also Color Correction.

Lira, J., Oliver, A.,
A Diffusion Model to Correct Multi-Spectral Images for the Path-Radiance Atmospheric Effect,
PDA83(385-403). BibRef 8300

Steyn-Ross, M.L., Steyn-Ross, D.A., Jelenak, A.,
Comparison of atmospheric correction algorithms for deriving sea surface temperature from AVHRR,
JRS(20), No. 18, December 1999, pp. 3515. BibRef 9912

Ouaidrari, H.,
Operational atmospheric correction of Landsat TM data,
RSE(70), No. 1, 1999, pp. 4-15. 9910
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Gu, D., Gillespie, A.R., Kahle, A.B., Palluconi, F.D.,
Autonomous Atmospheric Compensation (AAC) of High Resolution Hyperspectral Thermal Infrared Remote-Sensing Imagery,
GeoRS(38), No. 6, November 2000, pp. 2557-2570.
IEEE Top Reference. 0011
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Liang, S.L.[Shun-Lin], Fang, H.L.[Hong-Liang], Chen, M.Z.[Ming-Zhen],
Atmospheric correction of landsat ETM+ land surface imagery Part I: Methods,
GeoRS(39), No. 11, November 2001, pp. 2490-2498.
IEEE Top Reference. 0111
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Liang, S.L.[Shun-Lin], Fang, H.L.[Hong-Liang], Morisette, J.T., Chen, M.Z.[Ming-Zhen], Shuey, C.J., Walthall, C.L., Daughtry, C.S.T.,
Atmospheric correction of landsat ETM+ land surface imagery Part II: Validation and Applications,
GeoRS(40), No. 12, December 2002, pp. 2736-2746.
IEEE Top Reference. 0301
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Strow, L.L., Hannon, S.E., Weiler, M., Overoye, K., Gaiser, S.L., Aumann, H.H.,
Prelaunch spectral calibration of the atmospheric infrared sounder (AIRS),
GeoRS(41), No. 2, February 2003, pp. 274-286.
IEEE Top Reference. 0304
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Gaiser, S.L., Aumann, H.H., Strow, L.L., Hannon, S.E., Weiler, M.,
In-flight spectral calibration of the atmospheric infrared sounder,
GeoRS(41), No. 2, February 2003, pp. 287-297.
IEEE Top Reference. 0304
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Pagano, T.S., Aumann, H.H., Hagan, D.E., Overoye, K.,
Prelaunch and in-flight radiometric calibration of the atmospheric infrared sounder (AIRS),
GeoRS(41), No. 2, February 2003, pp. 265-273.
IEEE Top Reference. 0304
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Song, J.[Jie], Lu, D.J.[Duan-Jun], Wesely, M.L.,
A Simplified Atmospheric Correction Procedure for the Normalized Difference Vegetation Index,
PhEngRS(69), No. 5, May 2003, pp. 521-528. Make atmospheric corrections to surface reflectances observed from a satellite by using the unique spectral signature of water pixels.
WWW Link. 0307
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Cairns, B., Carlson, B.E., Ying, R.X.[Ruo-Xian], Lacis, A.A., Oinas, V.,
Atmospheric Correction and Its Application to an Analysis of Hyperion Data,
GeoRS(41), No. 6, June 2003, pp. 1232-1244.
IEEE Abstract. 0308
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Tonooka, H., Palluconi, F.D.,
Validation of ASTER/TIR Standard Atmospheric Correction Using Water Surfaces,
GeoRS(43), No. 12, December 2005, pp. 2769-2777.
IEEE DOI 0512
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Tonooka, H.,
Accurate Atmospheric Correction of ASTER Thermal Infrared Imagery Using the WVS Method,
GeoRS(43), No. 12, December 2005, pp. 2778-2792.
IEEE DOI 0512
BibRef

Marion, R., Michel, R., Faye, C.,
Atmospheric Correction of Hyperspectral Data Over Dark Surfaces via Simulated Annealing,
GeoRS(44), No. 6, June 2006, pp. 1566-1574.
IEEE DOI 0606
BibRef

Mahiny, A.S.[Abdolrassoul S.], Turner, B.J.[Brian J.],
A Comparison of Four Common Atmospheric Correction Methods,
PhEngRS(73), No. 4, April 2007, pp. 361-368.
WWW Link. 0704
An evaluation of the performance of atmospheric correction methods for satellite imagery. BibRef

Philpot, W.,
Estimating Atmospheric Transmission and Surface Reflectance From a Glint-Contaminated Spectral Image,
GeoRS(45), No. 2, February 2007, pp. 448-457.
IEEE DOI 0703
BibRef

Gao, B.C., Montes, M.J., Li, R.R., Dierssen, H.M., Davis, C.O.,
An Atmospheric Correction Algorithm for Remote Sensing of Bright Coastal Waters Using MODIS Land and Ocean Channels in the Solar Spectral Region,
GeoRS(45), No. 6, June 2007, pp. 1835-1843.
IEEE DOI 0706
BibRef

Du, Q., Fowler, J.E., Zhu, W.,
On the Impact of Atmospheric Correction on Lossy Compression of Multispectral and Hyperspectral Imagery,
GeoRS(47), No. 1, January 2009, pp. 130-132.
IEEE DOI 0901
BibRef

Ellicott, E., Vermote, E., Petitcolin, F., Hook, S.J.,
Validation of a New Parametric Model for Atmospheric Correction of Thermal Infrared Data,
GeoRS(47), No. 1, January 2009, pp. 295-311.
IEEE DOI 0901
BibRef

Schwind, P., Schneider, M., Palubinskas, G., Storch, T., Muller, R., Richter, R.,
Processors for ALOS Optical Data: Deconvolution, DEM Generation, Orthorectification, and Atmospheric Correction,
GeoRS(47), No. 12, December 2009, pp. 4074-4082.
IEEE DOI 0912
BibRef

Davranche, A.[Aurélie], Lefebvre, G.[Gaëtan], Poulin, B.[Brigitte],
Radiometric Normalization of SPOT-5 Scenes: 6S Atmospheric Model versus Pseudo-invariant Features,
PhEngRS(75), No. 6, June 2009, pp. 723-728.
WWW Link. 0910
The 6S code provides a significantly lower radiometric variation (2.8 percent) than the use of pseudo-invariant features (4.1 percent), which remains a valid approach with only a few carefully selected invariant sectors. BibRef

Richter, R., Schlapfer, D., Muller, A.,
Operational Atmospheric Correction for Imaging Spectrometers Accounting for the Smile Effect,
GeoRS(49), No. 5, May 2011, pp. 1772-1780.
IEEE DOI 1105
BibRef

Semenov, A.A., Moshkov, A.V., Pozhidayev, V.N., Barducci, A., Marcoionni, P., Pippi, I.,
Estimation of Normalized Atmospheric Point Spread Function and Restoration of Remotely Sensed Images,
GeoRS(49), No. 7, July 2011, pp. 2623-2634.
IEEE DOI 1107
BibRef

Miura, T., Turner, J.P., Huete, A.R.,
Spectral Compatibility of the NDVI Across VIIRS, MODIS, and AVHRR: An Analysis of Atmospheric Effects Using EO-1 Hyperion,
GeoRS(51), No. 3, March 2013, pp. 1349-1359.
IEEE DOI 1303
BibRef

Stangier, T.[Tobias], Sonnabend, G.[Guido], Sornig, M.[Manuela],
Compact Setup of a Tunable Heterodyne Spectrometer for Infrared Observations of Atmospheric Trace-Gases,
RS(5), No. 7, 2013, pp. 3397-3414.
DOI Link 1308
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Philpot, W.[William], Ansty, T.[Todd],
Analytical Description of Pseudoinvariant Features,
GeoRS(51), No. 4, April 2013, pp. 2016-2021.
IEEE DOI 1304
BibRef
Earlier:
Analytical description of pseudo-invariant features (PIFs),
MultiTemp11(53-56).
IEEE DOI 1109
For atmospheric normalization. BibRef

Das, N.N., Colliander, A., Chan, S.K., Njoku, E.G., Li, L.[Li],
Intercomparisons of Brightness Temperature Observations Over Land From AMSR-E and WindSat,
GeoRS(52), No. 1, January 2014, pp. 452-464.
IEEE DOI 1402
atmospheric radiation BibRef

Dobler, J.[Jeremy], Braun, M.[Michael], Blume, N.[Nathan], Zaccheo, T.S.[T. Scott],
A New Laser Based Approach for Measuring Atmospheric Greenhouse Gases,
RS(5), No. 12, 2013, pp. 6284-6304.
DOI Link 1402
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Zhang, M., Ma, R., Li, J., Zhang, B., Duan, H.,
A Validation Study of an Improved SWIR Iterative Atmospheric Correction Algorithm for MODIS-Aqua Measurements in Lake Taihu, China,
GeoRS(52), No. 8, August 2014, pp. 4686-4695.
IEEE DOI 1403
Aerosols BibRef

Chen, J., Cui, T., Lin, C.,
An Improved SWIR Atmospheric Correction Model: A Cross-Calibration-Based Model,
GeoRS(52), No. 7, July 2014, pp. 3959-3967.
IEEE DOI 1403
Aerosols BibRef

Black, M.[Martin], Fleming, A.[Andrew], Riley, T.[Teal], Ferrier, G.[Graham], Fretwell, P.[Peter], McFee, J.[John], Achal, S.[Stephen], Diaz, A.U.[Alejandra Umana],
On the Atmospheric Correction of Antarctic Airborne Hyperspectral Data,
RS(6), No. 5, 2014, pp. 4498-4514.
DOI Link 1407
BibRef

Chang, L.[Liang], Jin, S.G.[Shuang-Gen], He, X.F.[Xiu-Feng],
Assessment of InSAR Atmospheric Correction Using Both MODIS Near-Infrared and Infrared Water Vapor Products,
GeoRS(52), No. 9, Sept 2014, pp. 5726-5735.
IEEE DOI 1407
atmospheric humidity BibRef

Liu, C., Liu, G., Lin, T., Liu, C., Ren, H., Young, C.,
Using Surface Stations to Improve Sounding Retrievals from Hyperspectral Infrared Instruments,
GeoRS(52), No. 11, November 2014, pp. 6957-6963.
IEEE DOI 1407
Atmospheric measurements BibRef

Vladutescu, D.V., Madhavan, B.L., Gross, B.M., Aguirre, A., Moshary, F., Ahmed, S.A., Razani, M., Blake, R.A.,
Assessment of Langley and NASA-GISS Calibration Techniques for MFRSR Aerosol Retrieval,
GeoRS(52), No. 9, Sept 2014, pp. 5880-5894.
IEEE DOI 1407
aerosols BibRef

Pacifici, F., Longbotham, N., Emery, W.J.,
The Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical Very High Spatial Resolution Images,
GeoRS(52), No. 10, October 2014, pp. 6241-6256.
IEEE DOI 1407
Atmospheric measurements BibRef

Katsurai, M., Ogawa, T., Haseyama, M.,
A Cross-Modal Approach for Extracting Semantic Relationships Between Concepts Using Tagged Images,
MultMed(16), No. 4, June 2014, pp. 1059-1074.
IEEE DOI 1407
Atmospheric measurements BibRef

Chen, L.[Liujia], Yu, B.L.[Bai-Lang], Chen, Z.Q.[Zuo-Qi], Li, B.L.[Bai-Liang], Wu, J.P.[Jian-Ping],
Investigating the Temporal and Spatial Variability of Total Ozone Column in the Yangtze River Delta Using Satellite Data: 1978-2013,
RS(6), No. 12, 2014, pp. 12527-12543.
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Hagolle, O.[Olivier], Huc, M.[Mireille], Pascual, D.V.[David Villa], Dedieu, G.[Gerard],
A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENµS and Sentinel-2 Images,
RS(7), No. 3, 2015, pp. 2668-2691.
DOI Link 1504
BibRef

Ozsarac, S., Akar, G.B.,
Atmospheric Effects Removal for the Infrared Image Sequences,
GeoRS(53), No. 9, September 2015, pp. 4899-4909.
IEEE DOI 1506
Atmospheric measurements BibRef

Daumard, F., Goulas, Y., Ounis, A., Pedros, R., Moya, I.,
Measurement and Correction of Atmospheric Effects at Different Altitudes for Remote Sensing of Sun-Induced Fluorescence in Oxygen Absorption Bands,
GeoRS(53), No. 9, September 2015, pp. 5180-5196.
IEEE DOI 1506
Absorption BibRef

Bue, B.D., Thompson, D.R., Eastwood, M., Green, R.O., Gao, B.C.[Bo-Cai], Keymeulen, D., Sarture, C.M., Mazer, A.S., Luong, H.H.,
Real-Time Atmospheric Correction of AVIRIS-NG Imagery,
GeoRS(53), No. 12, December 2015, pp. 6419-6428.
IEEE DOI 1512
interpolation BibRef

Mateus, P., Nico, G., Catalao, J.,
Uncertainty Assessment of the Estimated Atmospheric Delay Obtained by a Numerical Weather Model (NMW),
GeoRS(53), No. 12, December 2015, pp. 6710-6717.
IEEE DOI 1512
atmospheric techniques BibRef

Zhao, L.L.[Li-Long], Xu, J.J.[Jian-Jun], Powell, A.M.[Alfred M.], Jiang, Z.H.[Zhi-Hong], Wang, D.H.[Dong-Hai],
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations,
RS(8), No. 1, 2016, pp. 13.
DOI Link 1602
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Mao, Z.H.[Zhi-Hua], Pan, D.[Delu], He, X.Q.[Xian-Qiang], Chen, J.Y.[Jian-Yu], Tao, B.Y.[Bang-Yi], Chen, P.[Peng], Hao, Z.Z.[Zeng-Zhou], Bai, Y.[Yan], Zhu, Q.K.[Qian-Kun], Huang, H.Q.[Hai-Qing],
A Unified Algorithm for the Atmospheric Correction of Satellite Remote Sensing Data over Land and Ocean,
RS(8), No. 7, 2016, pp. 536.
DOI Link 1608
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Stamnas, E.[Erasmia], Lammert, A.[Andrea], Winkelmann, V.[Volker], Lang, U.[Ulrich],
The HD(CP)2 Data Archive for Atmospheric Measurement Data,
IJGI(5), No. 7, 2016, pp. 124.
DOI Link 1608
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Wang, D.[Dandan], Chen, Y.H.[Yun-Hao], Wang, M.J.[Meng-Jie], Quan, J.L.[Jing-Ling], Jiang, T.[Tao],
A New Neighboring Pixels Method for Reducing Aerosol Effects on the NDVI Images,
RS(8), No. 6, 2016, pp. 489.
DOI Link 1608
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Jiang, H.[Hou], Lu, N.[Ning], Yao, L.[Ling],
A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images,
RS(8), No. 10, 2016, pp. 844.
DOI Link 1609
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Jiang, H.[Hou], Lu, N.[Ning],
Multi-Scale Residual Convolutional Neural Network for Haze Removal of Remote Sensing Images,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Ji, D.B.[Da-Bin], Shi, J.C.[Jian-Cheng], Letu, H.[Husi], Wang, T.X.[Tian-Xing], Zhao, T.J.[Tian-Jie],
Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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Bru, D.[Driss], Lubac, B.[Bertrand], Normandin, C.[Cassandra], Robinet, A.[Arthur], Leconte, M.[Michel], Hagolle, O.[Olivier], Martiny, N.[Nadège], Jamet, C.[Cédric],
Atmospheric Correction of Multi-Spectral Littoral Images Using a PHOTONS/AERONET-Based Regional Aerosol Model,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Gao, B.C.[Bo-Cai], Li, R.R.[Rong-Rong],
Removal of Thin Cirrus Scattering Effects in Landsat 8 OLI Images Using the Cirrus Detecting Channel,
RS(9), No. 8, 2017, pp. xx-yy.
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Rankin, B.M., Meola, J., Eismann, M.T.,
Spectral Radiance Modeling and Bayesian Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification,
GeoRS(55), No. 12, December 2017, pp. 6726-6735.
IEEE DOI 1712
Atmospheric modeling, Computational modeling, Hyperspectral imaging, Mathematical model, Object detection, target identification BibRef

Zhang, M., Hu, C., Kowalewski, M.G., Janz, S.J.,
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf,
GeoRS(56), No. 1, January 2018, pp. 168-179.
IEEE DOI 1801
calibration, hyperspectral imaging, radiative transfer, remote sensing, underwater optics, AD 2013 09, AD 2015 11, remote sensing BibRef

Jaanson, P., Bialek, A., Greenwell, C., Montynen, H., Widlowski, J.L., Manoocheri, F., Lassila, A., Fox, N., Ikonen, E.,
Toward SI Traceability of a Monte Carlo Radiative Transfer Model in the Visible Range,
GeoRS(56), No. 3, March 2018, pp. 1360-1373.
IEEE DOI 1804
Monte Carlo methods, atmospheric optics, radiative transfer, ray tracing, remote sensing, uncertainty BibRef

Meng, X.C.[Xiang-Chen], Cheng, J.[Jie],
Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor: Application to Landsat 8 TIRS10 Data,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
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Wang, Z.[Zhan], Du, P.A.[Ping-An], Liu, J.[Jian],
A Color Restoration Method for Irreversible Thermal Paint Based on Atmospheric Scattering Model,
IEICE(E101-D), No. 3, March 2018, pp. 826-829.
WWW Link. 1804
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Doxani, G.[Georgia], Vermote, E.[Eric], Roger, J.C.[Jean-Claude], Gascon, F.[Ferran], Adriaensen, S.[Stefan], Frantz, D.[David], Hagolle, O.[Olivier], Hollstein, A.[André], Kirches, G.[Grit], Li, F.[Fuqin], Louis, J.[Jérôme], Mangin, A.[Antoine], Pahlevan, N.[Nima], Pflug, B.[Bringfried], Vanhellemont, Q.[Quinten],
Atmospheric Correction Inter-Comparison Exercise,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Zhu, S.J.[Si-Jie], Lei, B.[Bin], Wu, Y.R.[Yi-Rong],
Retrieval of Hyperspectral Surface Reflectance Based on Machine Learning,
RS(10), No. 2, 2018, pp. xx-yy.
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Scheirer, R.[Ronald], Dybbroe, A.[Adam], Raspaud, M.[Martin],
A General Approach to Enhance Short Wave Satellite Imagery by Removing Background Atmospheric Effects,
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Wang, M., Jiang, L.,
Atmospheric Correction Using the Information From the Short Blue Band,
GeoRS(56), No. 10, October 2018, pp. 6224-6237.
IEEE DOI 1810
Oceans, Image color analysis, Aerosols, Sea measurements, Satellites, Atmospheric measurements, Water pollution, Visible Infrared Imaging Radiometer Suite (VIIRS) BibRef

Pellet, V., Aires, F.,
Bottleneck Channels Algorithm for Satellite Data Dimension Reduction: A Case Study for IASI,
GeoRS(56), No. 10, October 2018, pp. 6069-6081.
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Instruments, Atmospheric measurements, Covariance matrices, Gases, Atmospheric modeling, Dimensionality reduction, sampling BibRef

Hu, Z., Mallorquí, J.J., Fan, H.,
Atmospheric Artifacts Correction With a Covariance-Weighted Linear Model Over Mountainous Regions,
GeoRS(56), No. 12, December 2018, pp. 6995-7008.
IEEE DOI 1812
Atmospheric modeling, Delays, Strain, Synthetic aperture radar, Estimation, Surfaces, Data models, Atmospheric phase screen (APS), synthetic aperture radar (SAR) BibRef

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Ilori, C.O.[Christopher O.], Pahlevan, N.[Nima], Knudby, A.[Anders],
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Santini, F.[Federico], Palombo, A.[Angelo],
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Palombo, A.[Angelo], Santini, F.[Federico],
ImaAtCor: A Physically Based Tool for Combined Atmospheric and Topographic Corrections of Remote Sensing Images,
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Du, W.H.[Wen-Hui], Qin, Z.H.[Zhi-Hao], Fan, J.L.[Jin-Long], Gao, M.F.[Mao-Fang], Wang, F.[Fei], Abbasi, B.[Bilawal],
An Efficient Approach to Remove Thick Cloud in VNIR Bands of Multi-Temporal Remote Sensing Images,
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Pereira-Sandoval, M.[Marcela], Ruescas, A.[Ana], Urrego, P.[Patricia], Ruiz-Verdú, A.[Antonio], Delegido, J.[Jesús], Tenjo, C.[Carolina], Soria-Perpinyà, X.[Xavier], Vicente, E.[Eduardo], Soria, J.[Juan], Moreno, J.[José],
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Minarík, R.[Robert], Langhammer, J.[Jakub], Hanuš, J.[Jan],
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Li, X., Yang, L., Su, X., Hu, Z., Chen, F.,
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IEEE DOI 1910
artificial satellites, calibration, cameras, error correction, position control, remote sensing, sunlight, spatial thermal deformation (STD) BibRef

Shi, Y.[Yu], Hong, H.Y.[Han-Yu], Hua, X.[Xia], Zhang, T.X.[Tian-Xu],
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Zhang, M., Hu, C.,
Evaluation of Remote Sensing Reflectance Derived From the Sentinel-2 Multispectral Instrument Observations Using POLYMER Atmospheric Correction,
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IEEE DOI 2007
MODIS, Polymers, Sea measurements, Spatial resolution, Uncertainty, Atmospheric measurements, Sun, AERONET-OC, atmospheric correction, Sentinel-2 BibRef

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IEEE DOI 2011
Kalman filters, Satellite broadcasting, Computational modeling, Indexes, Remote sensing, Spatial resolution, Earth, visible-infrared (VIS-IR) measurements BibRef

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Wright, L.A., Kindel, B.C., Pilewskie, P., Leisso, N.P., Kampe, T.U., Schmidt, K.S.,
Below-Cloud Atmospheric Correction of Airborne Hyperspectral Imagery Using Simultaneous Solar Spectral Irradiance Observations,
GeoRS(59), No. 2, February 2021, pp. 1392-1409.
IEEE DOI 2101
Atmospheric modeling, Atmospheric measurements, Clouds, Aircraft, Biological system modeling, Instruments, Surface topography, imaging spectroscopy BibRef

Pancorbo, J.L., Lamb, B.T., Quemada, M., Hively, W.D., Gonzalez-Fernandez, I., Molina, I.,
Sentinel-2 and WorldView-3 atmospheric correction and signal normalization based on ground-truth spectroradiometric measurements,
PandRS(173), 2021, pp. 166-180.
Elsevier DOI 2102
Land cover monitoring, NDVI, Satellite imagery, Surface reflectance, Vegetation monitoring, View angle BibRef

Wolters, E.[Erwin], Toté, C.[Carolien], Sterckx, S.[Sindy], Adriaensen, S.[Stefan], Henocq, C.[Claire], Bruniquel, J.[Jérôme], Scifoni, S.[Silvia], Dransfeld, S.[Steffen],
iCOR Atmospheric Correction on Sentinel-3/OLCI over Land: Intercomparison with AERONET, RadCalNet, and SYN Level-2,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Sun, J.[Jian], Xu, F.[Fangcao], Cervone, G.[Guido], Gervais, M.[Melissa], Wauthier, C.[Christelle], Salvador, M.[Mark],
Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network,
PandRS(174), 2021, pp. 117-131.
Elsevier DOI 2103
Hyperspectral, Deep learning, Atmospheric correction, Neural network, Reflectivity BibRef

Dang, M.X.[Ming-Xia], Wu, J.J.[Jia-Ji], Cui, S.C.[Sheng-Cheng], Guo, X.[Xing], Cao, Y.[Yunhua], Wei, H.[Heli], Wu, Z.S.[Zhen-Sen],
Multiscale Decomposition Prediction of Propagation Loss in Oceanic Tropospheric Ducts,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
Structure with an abnormal atmospheric refractive index. BibRef

Valdivieso-Ros, C.[Carmen], Alonso-Sarria, F.[Francisco], Gomariz-Castillo, F.[Francisco],
Effect of Different Atmospheric Correction Algorithms on Sentinel-2 Imagery Classification Accuracy in a Semiarid Mediterranean Area,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Katsev, I.L.[Iosif L.], Prikhach, A.S.[Alexander S.], Zege, E.P.[Eleonora P.], Kokhanovsky, A.A.[Alexander A.],
A Robust Atmospheric Correction Procedure for Determination of Spectral Reflectance of Terrestrial Surfaces from Satellite Spectral Measurements,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Srivastava, A.[Ankur], Rodriguez, J.F.[Jose F.], Saco, P.M.[Patricia M.], Kumari, N.[Nikul], Yetemen, O.[Omer],
Global Analysis of Atmospheric Transmissivity Using Cloud Cover, Aridity and Flux Network Datasets,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Guzzi, D.[Donatella], Nardino, V.[Vanni], Lastri, C.[Cinzia], Raimondi, V.[Valentina],
A Fast Iterative Procedure for Adjacency Effects Correction on Remote Sensed Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Li, F.[Fuqin], Jupp, D.L.B.[David L. B.], Schroeder, T.[Thomas], Sagar, S.[Stephen], Sixsmith, J.[Joshua], Dorji, P.[Passang],
Assessing an Atmospheric Correction Algorithm for Time Series of Satellite-Based Water-Leaving Reflectance Using Match-Up Sites in Australian Coastal Waters,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Li, D.X.[De-Xin], Dong, Z.[Zhen], Yu, A.X.[An-Xi], Zhang, Y.S.[Yong-Sheng], Zhang, Q.[Qilei], He, F.[Feng], Wu, M.Q.[Man-Qing],
Estimation and Compensation of Turbulent Tropospheric Delay in High-Resolution SAR Image,
GeoRS(59), No. 6, June 2021, pp. 4775-4789.
IEEE DOI 2106
Delays, Synthetic aperture radar, Azimuth, Estimation, Data models, Interferometry, Atmospheric modeling, Autofocus, tropospheric propagation BibRef

Mikelsons, K.[Karlis], Wang, M.[Menghua],
Global clear sky near-surface imagery from multiple satellite daily imagery time series,
PandRS(180), 2021, pp. 238-254.
Elsevier DOI 2109
Remote sensing, Surface feature, True color, False color, VIIRS, Sentinel-3 OLCI, Landsat BibRef

Kolláth, Z.[Zoltán], Száz, D.[Dénes], Kolláth, K.[Kornél],
Measurements and Modelling of Aritificial Sky Brightness: Combining Remote Sensing from Satellites and Ground-Based Observations,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
Or rather darkness, model light pollution. BibRef

Dou, F.J.[Fang-Jia], Lv, X.L.[Xiao-Lei], Chai, H.M.[Hui-Ming],
Mitigating Atmospheric Effects in InSAR Stacking Based on Ensemble Forecasting with a Numerical Weather Prediction Model,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Yang, M.M.[Meng-Meng], Hu, Y.[Yong], Tian, H.Z.[Hong-Zhen], Khan, F.A.[Faisal Ahmed], Liu, Q.P.[Qin-Ping], Goes, J.I.[Joaquim I.], do R. Gomes, H.[Helga], Kim, W.[Wonkook],
Atmospheric Correction of Airborne Hyperspectral CASI Data Using Polymer, 6S and FLAASH,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Schamberger, L.[Léa], Minghelli, A.[Audrey], Chami, M.[Malik], Steinmetz, F.[François],
Improvement of Atmospheric Correction of Satellite Sentinel-3/OLCI Data for Oceanic Waters in Presence of Sargassum,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wang, W.[Weile], Wang, Y.J.[Yu-Jie], Lyapustin, A.[Alexei], Hashimoto, H.[Hirofumi], Park, T.[Taejin], Michaelis, A.[Andrew], Nemani, R.[Ramakrishna],
A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Pan, Y.[Yanqun], Bélanger, S.[Simon], Huot, Y.[Yannick],
Evaluation of Atmospheric Correction Algorithms over Lakes for High-Resolution Multispectral Imagery: Implications of Adjacency Effect,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Aguiar, P.[Pedro], Vieira, T.[Telmo], Lázaro, C.[Clara], Fernandes, M.J.[M. Joana],
Synergistic Use of the SRAL/MWR and SLSTR Sensors on Board Sentinel-3 for the Wet Tropospheric Correction Retrieval,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Molkov, A.[Aleksandr], Fedorov, S.[Sergei], Pelevin, V.[Vadim],
Toward Atmospheric Correction Algorithms for Sentinel-3/OLCI Images of Productive Waters,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Fedorov, S.[Sergei], Molkov, A.[Aleksandr], Kalinskaya, D.[Daria],
Aerosol Optical Properties above Productive Waters of Gorky Reservoir for Atmospheric Correction of Sentinel-3/OLCI Images,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Xu, L.L.[Ling-Ling], Xiong, W.[Wei], Yi, W.N.[Wei-Ning], Qiu, Z.W.[Zhen-Wei], Liu, X.[Xiao], Zhang, D.Y.[Dong-Ying], Fang, W.[Wei], Li, Z.Q.[Zheng-Qiang], Hou, W.Z.[Wei-Zhen], Lin, J.[Jun], Hu, Z.Z.[Zhong-Zheng], Wang, T.[Tao], Cui, W.Y.[Wen-Yu],
Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Chen, C.[Chen], Dai, K.[Keren], Tang, X.C.[Xiao-Chuan], Cheng, J.H.[Jian-Hua], Pirasteh, S.[Saied], Wu, M.T.[Ming-Tang], Shi, X.L.[Xian-Lin], Zhou, H.[Hao], Li, Z.H.[Zhen-Hong],
Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep Learning,
RS(14), No. 17, 2022, pp. xx-yy.
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de Los Reyes, R.[Raquel], Richter, R.[Rudolf], Bachmann, M.[Martin], Alonso, K.[Kevin], Pflug, B.[Bringfried], Lafrance, B.[Bruno], Reinartz, P.[Peter],
Influence of the Solar Spectra Models on PACO Atmospheric Correction,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Li, X.B.[Xiao-Bo], Wang, X.Y.[Xiao-Ya], Chen, Y.L.[Yan-Ling],
InSAR Atmospheric Delay Correction Model Integrated from Multi-Source Data Based on VCE,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Zhang, H.W.[Huan-Wei], Ma, Y.[Yi], Zhang, J.Y.[Jing-Yu], Zhao, X.[Xin], Zhang, X.C.[Xue-Chun], Leng, Z.[Zihao],
Atmospheric Correction Model for Water-Land Boundary Adjacency Effects in Landsat-8 Multispectral Images and Its Impact on Bathymetric Remote Sensing,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Yang, F.[Fan], Yang, K.[Kunde], Shi, Y.[Yang], Wang, S.W.[Shu-Wen], Zhang, H.[Hao], Zhao, Y.M.[Ya-Ming],
The Effects of Rainfall on Over-the-Horizon Propagation in the Evaporation Duct over the South China Sea,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
rainfall, evaporation duct, electromagnetic waves, over-the-horizon propagation, rain attenuation, ocean atmosphere, path loss, South China Sea, ERA5 BibRef

Peng, X.H.[Xiao-Hong], Huang, W.W.[Wen-Wen], Li, X.Y.[Xiao-Yan], Yang, L.[Lin], Chen, F.S.[Fan-Sheng],
A Spatiotemporal Atmospheric Refraction Correction Method for Improving the Geolocation Accuracy of High-Resolution Remote Sensing Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Zhang, H.[Hao], Yan, D.[Dongchuan], Zhang, B.[Bing], Fu, Z.W.[Zheng-Wen], Li, B.[Baipeng], Zhang, S.[Shuning],
An Operational Atmospheric Correction Framework for Multi-Source Medium-High-Resolution Remote Sensing Data of China,
RS(14), No. 21, 2022, pp. xx-yy.
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Bishop, M.P.[Michael P.], Young, B.W.[Brennan W.], Colby, J.D.[Jeffrey D.],
Numerical Modeling and Parameter Sensitivity Analysis for Understanding Scale-Dependent Topographic Effects Governing Anisotropic Reflectance Correction of Satellite Imagery,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
Include topograpic info also. BibRef

Mao, Z.H.[Zhi-Hua], Zhang, Y.[Yiwei], Tao, B.[Bangyi], Chen, J.Y.[Jian-Yu], Hao, Z.Z.[Zeng-Zhou], Zhu, Q.[Qiankun], Huang, H.Q.[Hai-Qing],
The Atmospheric Correction of COCTS on the HY-1C and HY-1D Satellites,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Gao, B.C.[Bo-Cai], Li, R.R.[Rong-Rong],
A Multi-Band Atmospheric Correction Algorithm for Deriving Water Leaving Reflectances over Turbid Waters from VIIRS Data,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Basener, B.[Bill], Basener, A.[Abigail],
Gaussian Process and Deep Learning Atmospheric Correction,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Zhou, Q.[Qu], Wang, S.[Sheng], Liu, N.F.[Nan-Feng], Townsend, P.A.[Philip A.], Jiang, C.Y.[Chong-Ya], Peng, B.[Bin], Verhoef, W.[Wouter], Guan, K.Y.[Kai-Yu],
Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators,
PandRS(196), 2023, pp. 386-401.
Elsevier DOI 2302
Hyperspectral, Atmospheric correction, Surface reflectance, Radiative transfer modeling, Machine learning BibRef

Zhu, W.N.[Wei-Ning], Xia, W.[Wei],
Effects of Atmospheric Correction on Remote Sensing Statistical Inference in an Aquatic Environment,
RS(15), No. 7, 2023, pp. 1907.
DOI Link 2304
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Colin, J.[Jérôme], Hagolle, O.[Olivier], Landier, L.[Lucas], Coustance, S.[Sophie], Kettig, P.[Peter], Meygret, A.[Aimé], Osman, J.[Julien], Vermote, E.[Eric],
Assessment of the Performance of the Atmospheric Correction Algorithm MAJA for Sentinel-2 Surface Reflectance Estimates,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Men, J.L.[Ji-Lin], Feng, L.[Lian], Chen, X.[Xi], Tian, L.Q.[Li-Qiao],
Atmospheric correction under cloud edge effects for Geostationary Ocean Color Imager through deep learning,
PandRS(201), 2023, pp. 38-53.
Elsevier DOI 2307
Atmospheric correction, Cloud edge effects, Deep learning, GOCI, Remote sensing reflectance BibRef

Zhao, X.[Xin], Ma, Y.[Yi], Xiao, Y.F.[Yan-Fang], Liu, J.Q.[Jian-Qiang], Ding, J.[Jing], Ye, X.M.[Xiao-Min], Liu, R.J.[Rong-Jie],
Atmospheric correction algorithm based on deep learning with spatial-spectral feature constraints for broadband optical satellites: Examples from the HY-1C Coastal Zone Imager,
PandRS(205), 2023, pp. 147-162.
Elsevier DOI 2311
Atmospheric correction, Broadband optical satellite, HY-1C coastal zone imager (CZI), Spatial-spectral feature constraint BibRef

Li, W.X.[Wen-Xin], Huang, Y.C.[Yuan-Cheng], Shen, Q.[Qian], Yao, Y.[Yue], Xu, W.T.[Wen-Ting], Shi, J.R.[Jia-Rui], Zhou, Y.T.[Yu-Ting], Li, J.Z.[Jin-Zhi], Zhang, Y.T.[Yu-Ting], Gao, H.[Hangyu],
Assessment of Seven Atmospheric Correction Processors for the Sentinel-2 Multi-Spectral Imager over Lakes in Qinghai Province,
RS(15), No. 22, 2023, pp. 5370.
DOI Link 2311
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Shan, K.Y.[Kun-Yang], Ma, C.F.[Chao-Fei], Lv, J.N.[Jing-Ning], Zhao, D.[Dan], Song, Q.J.[Qing-Jun],
Construction of Aerosol Model and Atmospheric Correction in the Coastal Area of Shandong Peninsula,
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DOI Link 2404
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Zhang, M.[Meng], Gao, C.X.[Chen-Xu], Sun, B.Q.[Bing-Qiang], Zhang, Y.J.[Yi-Jun],
Separation of Rapidly-Varying and Slowly-Varying Processes and Development of Diffraction Decomposition Order Method in Radiative Transfer,
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Groeneveld, D.[David], Ruggles, T.[Tim], Gao, B.C.[Bo-Cai],
Landsat-8/9 Atmospheric Correction Reliability Using Scene Statistics,
RS(16), No. 12, 2024, pp. 2216.
DOI Link 2406
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Sun, H.F.[Hao-Fei], Wang, D.Y.[De-Ying], Han, W.[Wei], Yang, Y.F.[Yun-Fan],
Quantifying the Impact of Aerosols on Geostationary Satellite Infrared Radiance Simulations: A Study with Himawari-8 AHI,
RS(16), No. 12, 2024, pp. 2226.
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Liu, H.[Hao], Zhang, Z.T.[Zi-Teng], Sheng, C.[Chuanzhen], Yu, B.G.[Bao-Guo], Gao, W.[Wang], Meng, X.L.[Xiao-Lin],
Fast and Reliable Network RTK Positioning Based on Multi-Frequency Sequential Ambiguity Resolution under Significant Atmospheric Biases,
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Assessment of Atmospheric Correction Algorithms for Sentinel-3 OLCI in the Amazon River Continuum,
RS(16), No. 14, 2024, pp. 2663.
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Wang, Q.Y.[Qing-Yu], Liu, H.[Hao], Wang, D.[Dian], Li, D.[Dexin], Liu, W.X.[Wei-Xin], Si, Y.[Yunrui], Liu, Y.[Yuan], Li, J.L.[Jun-Li], Duan, H.T.[Hong-Tao], Shen, M.[Ming],
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Tessin, E.[Elinor], Hamre, B.[Børge], Kristoffersen, A.S.[Arne Skodvin],
Testing the Limits of Atmospheric Correction over Turbid Norwegian Fjords,
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Guo, M.X.[Meng-Xing], Wu, P.F.[Peng-Fei], Fan, Z.Z.[Zi-Zhao], Lu, H.[Hao], Rao, R.Z.[Rui-Zhong],
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Yue, W.W.[Wen-Wei], Li, J.L.[Jing-Li], Li, C.L.[Chang-La], Cheng, N.[Nan], Wu, J.[JiaMing],
A Channel Knowledge Map-Aided Personalized Resource Allocation Strategy in Air-Ground Integrated Mobility,
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IEEE DOI 2411
Safety, Resource management, Atmospheric modeling, Cellular networks, Optimization, Land transportation, resource allocation BibRef

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Path Loss and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe,
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IEEE DOI 2411
Atmospheric modeling, Autonomous aerial vehicles, Bandwidth, Channel models, Fading channels, Shadow mapping, Buildings, airframe shadowing BibRef


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Single Image Atmospheric Veil Removal Using New Priors,
ICIP21(1719-1723)
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Rain, Image color analysis, Modulation, Lighting, Image restoration, Visibility Restoration, Single Image Defogging, Naka-Rushton BibRef

Clare, R.M., Engler, B.E., Weddell, S.J.,
Wavefront reconstruction with the cone sensor,
IVCNZ20(1-6)
IEEE DOI 2012
Radon, Terrestrial atmosphere, Transforms, Telescopes, Reconstruction algorithms, Matrix converters, Image reconstruction BibRef

Schläpfer, D., Popp, C., Richter, R.,
Drone Data Atmospheric Correction Concept for Multi- and Hyperspectral Imagery - the Droacor Model,
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Xu, R.Q.[Rong-Qin], Zhong, S.H.[Sheng-Hua], Tang, G.Y.[Gao-Yang], Wu, J.X.[Jia-Xin], Zhu, Y.Y.[Ying-Ying],
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Beisl, U., Tempelmann, U.,
Estimation Of The Atmospheric Refraction Effect In Airborne Images Using Radiosonde Data,
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Carr, S.B., Bernstein, L.S., Adler-Golden, S.M.,
The Quick Atmospheric Correction (QUAC) Algorithm for Hyperspectral Image Processing: Extending QUAC to a Coastal Scene,
DICTA15(1-8)
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geophysical image processing BibRef

Thapa, S., Chatterjee, R.S.,
Estimation of Atmospheric Effects of Radarsat-2 D-InSAR Product Using Ground-based and Spaceborne Meterological Data,
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Sulami, M., Glatzer, I., Fattal, R., Werman, M.,
Automatic recovery of the atmospheric light in hazy images,
ICCP14(1-11)
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atmospheric light propagation BibRef

Mobashery, M.R., Dastfard, M.,
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Mustak, S.,
Correction of Atmospheric Haze in Resourcesat-1 LISS-4 MX Data for Urban Analysis: An Improved Dark Object Subtraction Approach,
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Guo, Y., Zeng, F.,
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ISPRS12(XXXIX-B7:7-11).
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Babari, R.[Raouf], Hautiere, N.[Nicolas], Dumont, E.[Eric], Papelard, J.P.[Jean-Pierre], Paparoditis, N.[Nicolas],
Computer vision for the remote sensing of atmospheric visibility,
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Liu, H.L.[Hai-Lei], Xu, L.S.[Li-Sheng], Bianba, C.[Ciren], Basang, Z.[Zhuoga], Ding, J.[Jilie], Deng, X.B.[Xiao-Bo], Du, Y.X.[Yan-Xia],
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Hou, L.W.[Li-Wei], Xie, W.[Wei], Chen, F.S.[Fan-Sheng], Pan, M.[Ming],
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Degradation for infrared from optics, atmosphere, diffraction, etc. BibRef

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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Camera Calibration Using Calibration Object, or Known Features .


Last update:Nov 26, 2024 at 16:40:19