8.3.12 Cloud Detection, Extraction and Removal

Chapter Contents (Back)
Cloud Detection. Cloud Removal.
See also Cloud Detection, Ground-Based.
See also Thin Cloud Detection and Removal.
See also Cloud Identification, Cloud Type, Cloud Properties.
See also Shadow Detection, Removal and Extraction. More specifically:
See also Cloud Shadows, Combined Cloud and Shadow, Extraction and Removal.
See also Cloud Top Heights, Cloud-Top Analysis.

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IEEE Top Reference. 0002
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Hou, P., Hojjatoleslami, S., Petrou, M.[Maria], Underwood, C.I., Kittler, J.V.[Josef V.],
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Gomez-Chova, L., Camps-Valls, G., Calpe-Maravilla, J., Guanter, L., Moreno, J.,
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Gomez-Chova, L., Zurita-Milla, R., Alonso, L., Amoros-Lopez, J., Guanter, L., Camps-Valls, G.,
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Zurita-Milla, R., Gomez-Chova, L., Guanter, L., Clevers, J.G.P.W., Camps-Valls, G.,
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Jedlovec, G., Haines, S.L., LaFontaine, F.J.,
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Minnis, P.[Patrick], Trepte, Q.Z.[Qing Z.], Sun-Mack, S.[Szedung], Chen, Y.[Yan], Doelling, D.R.[David R.], Young, D.F.[David F.], Spangenberg, D.A.[Douglas A.], Miller, W.F.[Walter F.], Wielicki, B.A.[Bruce A.], Brown, R.R.[Ricky R.], Gibson, S.C.[Sharon C.], Geier, E.B.[Erika B.],
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Trepte, Q.Z.[Qing Z.], Minnis, P.[Patrick], Sun-Mack, S.[Szedung], Yost, C.R.[Christopher R.], Chen, Y.[Yan], Jin, Z.H.[Zhong-Hai], Hong, G.[Gang], Chang, F.L.[Fu-Lung], Smith, W.L.[William L.], Bedka, K.M.[Kristopher M.], Chee, T.L.[Thad L.],
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Clouds, MODIS, Cloud computing, Calibration, Meteorology, Satellites, Broadband communication, Climate, cloud, MODerate-resolution Imaging Spectroradiometer (MODIS) BibRef

Maestri, T., Holz, R.E.,
Retrieval of Cloud Optical Properties From Multiple Infrared Hyperspectral Measurements: A Methodology Based on a Line-by-Line Multiple-Scattering Code,
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IEEE DOI 0907
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Fraser, A.D., Massom, R.A., Michael, K.J.,
A Method for Compositing Polar MODIS Satellite Images to Remove Cloud Cover for Landfast Sea-Ice Detection,
GeoRS(47), No. 9, September 2009, pp. 3272-3282.
IEEE DOI 0909
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El-Araby, E.[Esam], El-Ghazawi, T.[Tarek], Le Moigne, J.[Jacqueline], Irish, R.[Richard],
Reconfigurable processing for satellite on-board automatic cloud cover assessment,
RealTimeIP(4), No. 3, August 2009, pp. xx-yy.
Springer DOI 0909
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Zhang, C.J., Wang, X.D.,
Typhoon cloud image enhancement and reducing speckle with genetic algorithm in stationary wavelet domain,
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DOI Link 0909
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Gomez-Chova, L., Camps-Valls, G., Bruzzone, L., Calpe-Maravilla, J.,
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GeoRS(48), No. 1, January 2010, pp. 207-220.
IEEE DOI 1001
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Izquierdo-Verdiguier, E., Gomez-Chova, L., Bruzzone, L., Camps-Valls, G.,
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GeoRS(52), No. 9, Sept 2014, pp. 5567-5578.
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feature extraction BibRef

Romero, A., Gatta, C., Camps-Valls, G.,
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification,
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Computer architecture BibRef

Sedano, F.[Fernando], Kempeneers, P.[Pieter], Strobl, P.[Peter], Kucera, J.[Jan], Vogt, P.[Peter], Seebach, L.[Lucia], San-Miguel-Ayanz, J.[Jesús],
A cloud mask methodology for high resolution remote sensing data combining information from high and medium resolution optical sensors,
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Cloud mask; Data fusion; High resolution; Medium resolution; Region growing BibRef

Taylor, T.E., O'Dell, C.W., O'Brien, D.M., Kikuchi, N., Yokota, T., Nakajima, T.Y., Ishida, H., Crisp, D., Nakajima, T.,
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Scaramuzza, P.L., Bouchard, M.A., Dwyer, J.L.,
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GeoRS(50), No. 4, April 2012, pp. 1140-1154.
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Poggio, L.[Laura], Gimona, A.[Alessandro], Brown, I.[Iain],
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PandRS(72), No. 1, August 2012, pp. August 2012, 56-72.
Elsevier DOI 1209
Interpolation; Kriging; Cloud cover; Covariates; Digital elevation model; Prediction BibRef

Yang, Y., Marshak, A., Palm, S.P., Wang, Z., Schaaf, C.,
Assessment of Cloud Screening With Apparent Surface Reflectance in Support of the ICESat-2 Mission,
GeoRS(51), No. 2, February 2013, pp. 1037-1045.
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Wilson, M.J., Oreopoulos, L.,
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Barnes, B.B., Hu, C.M.[Chuan-Min],
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clouds; Moderate Resolution Imaging Spectroradiometer (MODIS) BibRef

King, M.D., Platnick, S., Menzel, W.P., Ackerman, S.A., Hubanks, P.A.,
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GeoRS(51), No. 7, 2013, pp. 3826-3852.
IEEE DOI 1307
Clouds; Ice; cloud remote sensing BibRef

Jethva, H., Torres, O., Remer, L.A., Bhartia, P.K.[Pawan K.],
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IEEE DOI 1307
Clouds; color ratio BibRef

Eckardt, R.[Robert], Berger, C.[Christian], Thiel, C.[Christian], Schmullius, C.[Christiane],
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Vivone, G., Addesso, P., Conte, R., Longo, M., Restaino, R.,
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Cheng, Q.[Qing], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei], Yuan, Q.Q.[Qiang-Qiang], Zeng, C.[Chao],
Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model,
PandRS(92), No. 1, 2014, pp. 54-68.
Elsevier DOI 1407
Cloud removal BibRef

Manolakis, D., Golowich, S., DiPietro, R.,
Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches,
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Chemical sensors BibRef

Thompson, D.R., Green, R.O., Keymeulen, D., Lundeen, S.K., Mouradi, Y., Nunes, D.C., Castano, R., Chien, S.,
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IEEE DOI 1407
Brightness BibRef

Zhang, Q., Xiao, C.,
Cloud Detection of RGB Color Aerial Photographs by Progressive Refinement Scheme,
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IEEE DOI 1407
Accuracy BibRef

Li, X.H.[Xing-Hua], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei], Li, H.F.[Hui-Fang],
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PandRS(106), No. 1, 2015, pp. 1-15.
Elsevier DOI 1507
Analysis model BibRef

Taravat, A.[Alireza], Proud, S.[Simon], Peronaci, S.[Simone], Frate, F.D.[Fabio Del], Oppelt, N.[Natascha],
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Fuchs, J.[Julia], Cermak, J.[Jan],
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IEEE DOI 1506
Calibration BibRef

Daniels, J.L., Smith, G.L., Priestley, K.J., Thomas, S.,
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GeoRS(54), No. 1, January 2016, pp. 65-73.
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Lin, C.H.[Chao-Hung], Lin, B.Y.[Bo-Yi], Lee, K.Y.[Kuan-Yi], Chen, Y.C.[Yi-Chen],
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Elsevier DOI 1507
Cloud detection BibRef

Thies, B.[Boris], Groos, A.[Alexander], Schulz, M.[Martin], Li, C.F.[Ching-Feng], Chang, S.C.[Shih-Chieh], Bendix, J.[Jörg],
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Eberhardt, I.D.R.[Isaque Daniel Rocha], Schultz, B.[Bruno], Rizzi, R.[Rodrigo], Sanches, I.D.[Ieda Del'Arco], Formaggio, A.R.[Antonio Roberto], Atzberger, C.[Clement], Mello, M.P.[Marcio Pupin], Immitzer, M.[Markus], Trabaquini, K.[Kleber], Foschiera, W.[William], Luiz, A.J.B.[Alfredo José Barreto],
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Xu, M., Jia, X., Pickering, M., Plaza, A.J.,
Cloud Removal Based on Sparse Representation via Multitemporal Dictionary Learning,
GeoRS(54), No. 5, May 2016, pp. 2998-3006.
IEEE DOI 1604
clouds BibRef

Chen, S., Chen, X., Chen, J., Jia, P., Cao, X., Liu, C.,
An Iterative Haze Optimized Transformation for Automatic Cloud/Haze Detection of Landsat Imagery,
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IEEE DOI 1604
atmospheric optics BibRef

Heidinger, A.[Andrew], Foster, M.[Michael], Botambekov, D.[Denis], Hiley, M.[Michael], Walther, A.[Andi], Li, Y.[Yue],
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Bai, T.[Ting], Li, D.R.[De-Ren], Sun, K.M.[Kai-Min], Chen, Y.P.[Ye-Pei], Li, W.Z.[Wen-Zhuo],
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Wu, T.[Teng], Hu, X.Y.[Xiang-Yun], Zhang, Y.[Yong], Zhang, L.[Lulin], Tao, P.J.[Peng-Jie], Lu, L.P.[Lu-Ping],
Automatic cloud detection for high resolution satellite stereo images and its application in terrain extraction,
PandRS(121), No. 1, 2016, pp. 143-156.
Elsevier DOI 1609
Terrian extraction BibRef

Tan, K.[Kai], Zhang, Y.J.[Yong-Jun], Tong, X.[Xin],
Cloud Extraction from Chinese High Resolution Satellite Imagery by Probabilistic Latent Semantic Analysis and Object-Based Machine Learning,
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DOI Link 1612
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Chen, B., Huang, B., Chen, L., Xu, B.,
Spatially and Temporally Weighted Regression: A Novel Method to Produce Continuous Cloud-Free Landsat Imagery,
GeoRS(55), No. 1, January 2017, pp. 27-37.
IEEE DOI 1701
feature extraction BibRef

Sun, L.[Lin], Mi, X.T.[Xue-Ting], Wei, J.[Jing], Wang, J.[Jian], Tian, X.P.[Xin-Peng], Yu, H.Y.[Hui-Yong], Gan, P.[Ping],
A cloud detection algorithm-generating method for remote sensing data at visible to short-wave infrared wavelengths,
PandRS(124), No. 1, 2017, pp. 70-88.
Elsevier DOI 1702
Hyperspectral sensor BibRef

Shao, Z.F.[Zhen-Feng], Deng, J.[Juan], Wang, L.[Lei], Fan, Y.[Yewen], Sumari, N.S.[Neema S.], Cheng, Q.M.[Qi-Min],
Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery,
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Tahsin, S.[Subrina], Medeiros, S.C.[Stephen C.], Hooshyar, M.[Milad], Singh, A.[Arvind],
Optical Cloud Pixel Recovery via Machine Learning,
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Xu, L., Wong, A., Clausi, D.A.,
A Novel Bayesian Spatial -Temporal Random Field Model Applied to Cloud Detection From Remotely Sensed Imagery,
GeoRS(55), No. 9, September 2017, pp. 4913-4924.
IEEE DOI 1709
Bayes methods, clouds, Correlation, graph cut, Markov random field, (MRF) BibRef

Mishra, P., Garg, A., Singh, D.,
Critical Analysis of Model-Based Incoherent Polarimetric Decomposition Methods and Investigation of Deorientation Effect,
GeoRS(55), No. 9, September 2017, pp. 4868-4877.
IEEE DOI 1709
bare soil, Synthetic aperture radar, Urban areas, Vegetation mapping, BibRef

Zhong, N., Yang, W., Cherian, A., Yang, X., Xia, G.S., Liao, M.,
Unsupervised Classification of Polarimetric SAR Images via Riemannian Sparse Coding,
GeoRS(55), No. 9, September 2017, pp. 5381-5390.
IEEE DOI 1709
unsupervised polarimetric SAR image classification, BibRef

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
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Oishi, Y.[Yu], Ishida, H.[Haruma], Nakajima, T.Y.[Takashi Y.], Nakamura, R.[Ryosuke], Matsunaga, T.[Tsuneo],
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RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Bulgin, C.E.[Claire E.], Mittaz, J.P.D.[Jonathan P. D.], Embury, O.[Owen], Eastwood, S.[Steinar], Merchant, C.J.[Christopher J.],
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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,
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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
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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.
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Oishi, Y.[Yu], Sawada, Y.[Yoshito], Kamei, A.[Akihide], Murakami, K.[Kazutaka], Nakamura, R.[Ryosuke], Matsunaga, T.[Tsuneo],
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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.
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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.
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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,
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Mateo-García, G.[Gonzalo], Gómez-Chova, L.[Luis], Amorós-López, J.[Julia], Muńoz-Marí, J.[Jordi], Camps-Valls, G.[Gustau],
Multitemporal Cloud Masking in the Google Earth Engine,
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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.
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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.
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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
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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], Aragăo, 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,
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Lee, B.[Byungsuk], di Girolamo, L.[Larry], Zhao, G.Y.[Guang-Yu], Zhan, Y.Z.[Yi-Zhe],
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Drönner, J.[Johannes], Korfhage, N.[Nikolaus], Egli, S.[Sebastian], Mühling, M.[Markus], Thies, B.[Boris], Bendix, J.[Jörg], Freisleben, B.[Bernd], Seeger, B.[Bernhard],
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Xia, S.[Shuang], Mestas-Nuńez, 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.
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Xia, S.[Shuang], Mestas-Nuńez, A.M.[Alberto M.], Xie, H.J.[Hong-Jie], Vega, R.[Rolando],
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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,
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atmospheric techniques, clouds, land surface temperature, radiometry, vegetation mapping, mean anomalies, subsequent images, thin-plate splines BibRef

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clouds, feature extraction, geophysical image processing, geophysical signal processing, image classification, robust principal component analysis (RPCA) BibRef

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atmospheric techniques, clouds, geophysical image processing, image segmentation, neural nets, remote sensing, CDnet, thumbnails BibRef

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Cloud computing, Feature extraction, Semantics, Satellites, Adaptation models, Clouds, Decoding, Adaptive feature fusing, ZY-3 satellite thumbnails BibRef

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Ye, L., Cao, Z., Xiao, Y., Yang, Z.,
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clouds, feature extraction, image classification, image colour analysis, image segmentation, image texture, metric learning (ML) BibRef

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Clouds, Cloud computing, MODIS, Satellite broadcasting, Real-time systems, Spatial resolution, Satellites, Cloud mask, radiative transfer BibRef

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Transfer learning, Cloud masking, Convolutional neural networks, Deep learning, Domain adaptation BibRef

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Meraner, A.[Andrea], Ebel, P.[Patrick], Zhu, X.X.[Xiao Xiang], Schmitt, M.[Michael],
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Award, U.V. Helava, ISPRS. Cloud removal, Optical imagery, SAR-optical, Data fusion, Deep learning, Residual network BibRef

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Kim, B.Y.[Bu-Yo], Cha, J.W.[Joo Wan],
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Chen, X.[Xidong], Liu, L.Y.[Liang-Yun], Gao, Y.[Yuan], Zhang, X.[Xiao], Xie, S.[Shuai],
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Cilli, R.[Roberto], Monaco, A.[Alfonso], Amoroso, N.[Nicola], Tateo, A.[Andrea], Tangaro, S.[Sabina], Bellotti, R.[Roberto],
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Mondragón, R.[Román], Alonso-Montesinos, J.[Joaquín], Riveros-Rosas, D.[David], Bonifaz, R.[Roberto],
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Cloud-type classification, Per-pixel classification BibRef

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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,
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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,
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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,
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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],
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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,
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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,
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Frey, R.A.[Richard A.], Ackerman, S.A.[Steven A.], Holz, R.E.[Robert E.], Dutcher, S.[Steven], Griffith, Z.[Zach],
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Dai, P.Y.[Pei-Yu], Ji, S.P.[Shun-Ping], Zhang, Y.J.[Yong-Jun],
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Ji, S.P.[Shun-Ping], Dai, P.Y.[Pei-Yu], Lu, M., Zhang, Y.J.[Yong-Jun],
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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,
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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],
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Dagobert, T.[Tristan], Grompone von Gioi, R.[Rafael], de Franchis, C.[Carlo], Morel, J.M.[Jean-Michel], Hessel, C.[Charles],
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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],
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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,
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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],
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IET-IPR(14), No. 17, 24 December 2020, pp. 4795-4807.
DOI Link 2104
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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
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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,
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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],
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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.
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SFRS-Net: A Cloud-Detection Method Based on Deep Convolutional Neural Networks for GF-1 Remote-Sensing Images,
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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],
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Yao, X.D.[Xu-Dong], Guo, Q.[Qing], Li, A.[An],
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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,
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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,
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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,
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Hu, K.[Kai], Zhang, D.S.[Dong-Sheng], Xia, M.[Min],
CDUNet: Cloud Detection UNet for Remote Sensing Imagery,
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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,
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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,
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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.
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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.
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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
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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
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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
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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.
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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
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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.
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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.
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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.
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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
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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.
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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
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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.
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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
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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.
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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.
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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,
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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,
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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.
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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.
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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.
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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.
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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.
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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
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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
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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
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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
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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
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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
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Zhao, X.[Xiaohu], Jia, K.[Kebin],
Cloud Removal in Remote Sensing Using Sequential-Based Diffusion Models,
RS(15), No. 11, 2023, pp. 2861.
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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
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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
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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.
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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.
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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.
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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.
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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,
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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.
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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,
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Ma, J.Y.[Jie-Ying], Liao, Y.[Yi], Guan, L.[Li],
A Cloud Detection Algorithm Based on FY-4A/GIIRS Infrared Hyperspectral Observations,
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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


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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)
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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

Sandhan, T., Choi, J.Y.,
Simultaneous Detection and Removal of High Altitude Clouds from an Image,
ICCV17(4789-4798)
IEEE DOI 1802
clouds, convex programming, image colour analysis, image reconstruction, optimisation, geological images, Shape BibRef

Iannone, R.Q., Niro, F., Goryl, P., Dransfeld, S., Hoersch, B., Stelzer, K., Kirches, G., Paperin, M., Brockmann, C., Gómez-Chova, L., Mateo-García, G., Preusker, R., Fischer, J., Amato, U., Serio, C., Gangkofner, U., Berthelot, B., Iordache, M.D., Bertels, L., Wolters, E., Dierckx, W., Benhadj, I., Swinnen, E.,
Proba-V cloud detection Round Robin: Validation results and recommendations,
MultiTemp17(1-8)
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atmospheric techniques, clouds, remote sensing, European countries, Proba-V cloud detection Round Robin, Round Robin BibRef

Enomoto, K., Sakurada, K., Wang, W., Fukui, H., Matsuoka, M., Nakamura, R., Kawaguchi, N.,
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets,
EarthVision17(1533-1541)
IEEE DOI 1709
Clouds, Colored noise, Image color analysis, Satellites, Spatial resolution, Synthetic aperture radar, Training BibRef

Wu, L.F.[Li-Fang], He, J.Y.[Jiao-Yu], Jian, M.[Meng], Zhang, J.A.[Jian-An], Zou, Y.Z.[Yun-Zhen],
Fast cloud image segmentation with superpixel analysis based convolutional networks,
WSSIP17(1-5)
IEEE DOI 1707
Clouds, Convolution, Image segmentation, Imaging, Radar imaging, Training, Cloud image, Cloud segmentation, Convolutional neural networks, Superpixel, analysis BibRef

Ke, J., Sowmya, A., Guo, Y., Bednarz, T., Buckley, M.,
Efficient GPU Computing Framework of Cloud Filtering in Remotely Sensed Image Processing,
DICTA16(1-8)
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Dynamic programming BibRef

Lee, K.Y.[Kuan-Yi], Lin, C.H.[Chao-Hung],
Cloud Detection Of Optical Satellite Images Using Support Vector Machine,
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Zhou, G.Q.[Guo-Qing], Zhou, X.[Xiang], Yue, T.[Tao], Liu, Y.L.[Yi-Long],
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Idder, H.I.B., Laachfoubi, N.,
Cloud Motion Estimation in Satellite Image Sequences by Tracking Skeleton Critical Points Using Lucas-Kanade Method,
CGiV16(178-183)
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computer vision BibRef

Zhao, M.M.[Mu-Ming], Zhang, C.Y.[Chong-Yang], Zhang, W.J.[Wen-Jun], Li, W.[Wei], Zhang, J.[Jian],
Decorrelation-stretch based cloud detection for total sky images,
VCIP15(1-4)
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Algorithm design and analysis BibRef

Liu, X.W.[Xiu-Wen], Sharma, A., Yang, X.J.[Xiao-Jun], Nye, N.,
A scalable spatiotemporal inference framework based on statistical shape analysis for natural ecosystem monitoring by remote sensing,
MultiTemp15(1-4)
IEEE DOI 1511
clouds BibRef

Cerra, D., Bieniarz, J., Müller, R., Reinartz, P.,
Cloud Removal From Sentinel-2 Image Time Series Through Sparse Reconstruction From Random Samples,
ISPRS16(B3: 469-473).
DOI Link 1610
BibRef
Earlier: A1, A3, A4, Only:
Cloud removal in image time series through unmixing,
MultiTemp15(1-4)
IEEE DOI 1511
clouds BibRef

Chang, C.[Carolina], Vaca, F.[Fernando],
Automatic Detection of Clouds from Aerial Photographs of Snowy Volcanoes,
MCPR15(145-155).
Springer DOI 1506
BibRef

Peng, K.C.[Kuan-Chuan], Chen, T.H.[Tsu-Han],
Incorporating Cloud Distribution in Sky Representation,
ICCV13(2152-2159)
IEEE DOI 1403
BibRef

Shahrisvand, M., Akhoondzadeh, M.,
A Comparison of Empirical and Inteligent Methods for Dust Detection Using Modis Satellite Data,
SMPR13(371-375).
DOI Link 1311
BibRef

Yu, C.H.[Chang-Hui], Yuan, Y.[Yuan], Miao, M.J.[Min-Jing], Zhu, M.L.[Meng-Lu],
Cloud Detection Method Based on Feature Extraction in Remote Sensing Images,
ISSDQ13(173-177).
DOI Link 1311
BibRef

Moghaddam, Y.J.[Y. Jouybari], Aghamohamadnia, M.,
A Novel Method for Cloud Detection in MODIS Imagery,
SMPR13(221-224).
DOI Link 1311
BibRef

Xu, L., Fang, S., Niu, R., Li, J.,
Cloud Detection Based On Decision Tree Over Tibetan Plateau With Modis Data,
ISPRS12(XXXIX-B8:535-538).
DOI Link 1209
BibRef

Cunin, L., Nonin, P., Janoth, J., Bernard, M.,
Extracting Precise and Affordable Dems Despite of the Clouds. Ajax: The Joining Of Radar And Optical Strengths,
ISPRS12(XXXIX-B4:271-274).
DOI Link 1209
BibRef

Champion, N.,
Automatic Cloud Detection From Multi-temporal Satellite Images: Towards the Use of PlÉiades Time Series,
ISPRS12(XXXIX-B3:559-564).
DOI Link 1209
BibRef

Siravenha, A.C.[Ana Carolina], Sousa, D.[Danilo], Bispo, A.[Aline], Pelaes, E.[Evaldo],
The Use of High-Pass Filters and the Inpainting Method to Clouds Removal and Their Impact on Satellite Images Classification,
CIAP11(II: 333-342).
Springer DOI 1109
BibRef

Huang, Y.[Yong], Hu, W.[Wen], Liu, H.J.[Hui-Juan],
A Method of Cloud Classification Base on Image Entropy,
CISP09(1-4).
IEEE DOI 0910
BibRef

Jiang, Z.H.[Zhu-Hui],
Non-Linear Prediction Algorithm of Satellite Cloud Images,
CISP09(1-4).
IEEE DOI 0910
BibRef

Du, H.D.[Hua-Dong], Wang, Y.Q.[Yong-Qi], Chen, Y.M.[Ya-Ming],
Studies on Cloud Detection of Atmospheric Remote Sensing Image Using ICA Algorithm,
CISP09(1-4).
IEEE DOI 0910
BibRef

Shrestha, B., O'Hara, C.G., Mali, P.,
Data Fusion, De-noising, and Filtering to Produce Cloud-Free High Quality Temporal Composites Employing Parallel Temporal Map Algebra,
AIPR06(27-27).
IEEE DOI 0610
BibRef

Wang, Z.H.[Zhen-Hui], Pei, X.F.[Xiao-Fang],
Application of Principal Component Extraction technique in processing cloud images from Chinese FY-1 satellite,
IASP09(18-21).
IEEE DOI 0904
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Thin Cloud Detection and Removal .


Last update:Mar 16, 2024 at 20:36:19