8.3.11 Cloud Shadows, Combined Cloud and Shadow, Extraction and Removal

Chapter Contents (Back)
Cloud Detection. Shadow Detection. Cloud Shadow.

Shu, J.S.P.[Joseph Shou-Pyng], Freeman, H.[Herbert],
Cloud shadow removal from aerial photographs,
PR(23), No. 6, 1990, pp. 647-656.
Elsevier DOI 0401
First identify the cloud-shadowed regions, and then brightness compensation on the shadowed regions to achieve an image with seemingly uniform illumination. BibRef

Wang, C., Huang, L., Rosenfeld, A.,
Detecting Clouds and Cloud Shadows on Aerial Photographs,
PRL(12), 1991, pp. 55-64. BibRef 9100

Simpson, J.J., Stitt, J.R.,
A Procedure for the Detection and Removal of Cloud Shadow from AVHRR Data Over Land,
GeoRS(36), No. 3, May 1998, pp. 880-897.
IEEE Top Reference. 9806

Simpson, J.J., Jin, Z., Stitt, J.R.,
Cloud Shadow Detection Under Arbitrary Viewing and Illumination Conditions,
GeoRS(38), No. 2, March 2000, pp. 972-976.
IEEE Top Reference. 0004

Melesse, A.M.[Assefa M.], Jordan, J.D.[Jonathan D.],
A Comparison of Fuzzy vs. Augmented-ISODATA Classification Algorithms for Cloud-Shadow Discriminationfrom Landsat Images,
PhEngRS(68), No. 9, September 2002, pp. 905-912.
WWW Link. Both techniques are efficient and have an overall accuracy of greater than 80 percent. 0304

Abdel Latif, B., Lecerf, R., Mercier, G., Hubert-Moy, L.,
Preprocessing of Low-Resolution Time Series Contaminated by Clouds and Shadows,
GeoRS(46), No. 7, July 2008, pp. 2083-2096.

Meng, Q.M.[Qing-Min], Borders, B.E.[Bruce E.], Cieszewski, C.J.[Chris J.], Madden, M.[Marguerite],
Closest Spectral Fit for Removing Clouds and Cloud Shadows,
PhEngRS(75), No. 5, May 2009, pp. 569-576.
WWW Link. 0904
A new method of closest spectral fit for cloud and cloud shadow removal is developed, and then it is evaluated using QuickBird, Landsat, and MODIS data. BibRef

Le Hegarat-Mascle, S.[Sylvie], Andre, C.[Cyrille],
Use of Markov Random Fields for automatic cloud/shadow detection on high resolution optical images,
PandRS(64), No. 4, July 2009, pp. 351-366.
Elsevier DOI 0907
Markov Random Fields; Object detection; Cloud; Shadow BibRef

Amin, R., Gould, R.W., Hou, W., Arnone, R., Lee, Z.,
Optical Algorithm for Cloud Shadow Detection Over Water,
GeoRS(51), No. 2, February 2013, pp. 732-741.

Cheng, Q.[Qing], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei], Peng, Z.,
Missing Information Reconstruction for Single Remote Sensing Images Using Structure-Preserving Global Optimization,
SPLetters(24), No. 8, August 2017, pp. 1163-1167.
image reconstruction, image resolution, remote sensing, cloud removal, cloudy image, global optimization, high spatial resolution image applications, military object concealment, missing information reconstruction, public image, single remote sensing images, single-image reconstruction method, structure-preserving global optimization, Brightness, Coherence, Image reconstruction, Interpolation, Optimization, Remote sensing, Spatial resolution, Global optimization, high spatial resolution, image reconstruction, missing information, single, image BibRef

Amin, R., Lewis, D., Gould, R.W., Hou, W., Lawson, A., Ondrusek, M., Arnone, R.,
Assessing the Application of Cloud-Shadow Atmospheric Correction Algorithm on HICO,
GeoRS(52), No. 5, May 2014, pp. 2646-2653.
Atmospheric correction BibRef

Zhang, Y.[Ying], Guindon, B., Li, X.[Xinwu],
A Robust Approach for Object-Based Detection and Radiometric Characterization of Cloud Shadow Using Haze Optimized Transformation,
GeoRS(52), No. 9, Sept 2014, pp. 5540-5547.
artificial satellites BibRef

Hughes, M.J.[M. Joseph], Hayes, D.J.[Daniel J.],
Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-Processing,
RS(6), No. 6, 2014, pp. 4907-4926.
DOI Link 1407

Li, X., Shen, H., Zhang, L., Zhang, H., Yuan, Q., Yang, G.,
Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning,
GeoRS(52), No. 11, November 2014, pp. 7086-7098.
Bayes methods BibRef

Yu, L.[Ling], Ball, S.B.[Sheryl B.], Blinn, C.E.[Christine E.], Moeltner, K.[Klaus], Peery, S.[Seth], Thomas, V.A.[Valerie A.], Wynne, R.H.[Randolph H.],
Cloud-Sourcing: Using an Online Labor Force to Detect Clouds and Cloud Shadows in Landsat Images,
RS(7), No. 3, 2015, pp. 2334-2351.
DOI Link 1504

Parmes, E.[Eija], Rauste, Y.[Yrjö], Molinier, M.[Matthieu], Andersson, K.[Kaj], Seitsonen, L.[Lauri],
Automatic Cloud and Shadow Detection in Optical Satellite Imagery Without Using Thermal Bands: Application to Suomi NPP VIIRS Images over Fennoscandia,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

Sun, L.[Lin], Liu, X.[Xinyan], Yang, Y.K.[Yi-Kun], Chen, T.[Ting_Ting], Wang, Q.[Quan], Zhou, X.Y.[Xue-Ying],
A cloud shadow detection method combined with cloud height iteration and spectral analysis for Landsat 8 OLI data,
PandRS(138), 2018, pp. 193-207.
Elsevier DOI 1804
Cloud shadow, Spectral analysis, Cloud iteration, Landsat 8 BibRef

Zhai, H.[Han], Zhang, H.Y.[Hong-Yan], Zhang, L.P.[Liang-Pei], Li, P.X.[Ping-Xiang],
Cloud/shadow detection based on spectral indices for multi/hyperspectral optical remote sensing imagery,
PandRS(144), 2018, pp. 235-253.
Elsevier DOI 1809
Cloud, Cloud shadow, Cloud index, Cloud shadow index, Spatial matching BibRef

Wang, S.[Sheng], Baum, A.[Andreas], Zarco-Tejada, P.J.[Pablo J.], Dam-Hansen, C.[Carsten], Thorseth, A.[Anders], Bauer-Gottwein, P.[Peter], Bandini, F.[Filippo], Garcia, M.[Monica],
Unmanned Aerial System multispectral mapping for low and variable solar irradiance conditions: Potential of tensor decomposition,
PandRS(155), 2019, pp. 58-71.
Elsevier DOI 1908
Reflectance, Sensor calibration, Cloud shadow removal, Tucker tensor decomposition, Unmanned Aerial System BibRef

Candra, D.S.[Danang Surya], Phinn, S.[Stuart], Scarth, P.[Peter],
Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
Cloud And Cloud Shadow Masking Using Multi-temporal Cloud Masking Algorithm In Tropical Environmental,
ISPRS16(B2: 95-100).
DOI Link 1610

Meng, X.C.[Xiang-Chao], Shen, H.F.[Huan-Feng], Yuan, Q.Q.[Qiang-Qiang], Li, H.F.[Hui-Fang], Zhang, L.P.[Liang-Pei], Sun, W.W.[Wei-Wei],
Pansharpening for Cloud-Contaminated Very High-Resolution Remote Sensing Images,
GeoRS(57), No. 5, May 2019, pp. 2840-2854.
clouds, geophysical image processing, geophysical techniques, image fusion, image resolution, remote sensing, remote sensing BibRef

Li, Z.W.[Zhi-Wei], Shen, H.F.[Huan-Feng], Cheng, Q.[Qing], Liu, Y.H.[Yu-Hao], You, S.C.[Shu-Cheng], He, Z.Y.[Zong-Yi],
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors,
PandRS(150), 2019, pp. 197-212.
Elsevier DOI 1903
Cloud detection, Cloud shadow, Convolutional neural network, Multi-scale, Convolutional feature fusion, MSCFF BibRef

Baraldi, A.[Andrea], Tiede, D.[Dirk],
AutoCloud+, a 'Universal' Physical and Statistical Model-Based 2D Spatial Topology-Preserving Software for Cloud/Cloud-Shadow Detection in Multi-Sensor Single-Date Earth Observation Multi-Spectral Imagery: Part 1: Systematic ESA EO Level 2 Product Generation at the Ground Segment as Broad Context,
IJGI(7), No. 12, 2018, pp. xx-yy.
DOI Link 1901

Chen, Y.[Yong], He, W.[Wei], Yokoya, N.[Naoto], Huang, T.Z.[Ting-Zhu],
Blind Cloud and Cloud Shadow Removal of Multitemporal Images Based on Total Variation Regularized Low-Rank Sparsity Decomposition,
PandRS(157), 2019, pp. 93-107.
Elsevier DOI 1911
Cloud/shadow removal, Multitemporal images, Low-rank and sparsity, Total variation, Alternating direction method of multipliers BibRef

Kwan, C.[Chiman], Hagen, L.[Leif], Chou, B.[Bryan], Perez, D.[Daniel], Li, J.[Jiang], Shen, Y.Z.[Yu-Zhong], Koperski, K.[Krysztof],
Simple and effective cloud- and shadow-detection algorithms for Landsat and Worldview images,
SIViP(14), No. 1, February 2020, pp. 125-133.
Springer DOI 2001

Jiao, L.B.[Li-Bin], Huo, L.Z.[Lian-Zhi], Hu, C.M.[Chang-Miao], Tang, P.[Ping],
Refined UNet V2: End-to-End Patch-Wise Network for Noise-Free Cloud and Shadow Segmentation,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

Jiao, L.B.[Li-Bin], Huo, L.Z.[Lian-Zhi], Hu, C.M.[Chang-Miao], Tang, P.[Ping], Zhang, Z.[Zheng],
Refined UNet V4: End-to-End Patch-Wise Network for Cloud and Shadow Segmentation with Bilateral Grid,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201

Zhang, Q.A.[Qi-Ang], Yuan, Q.Q.[Qiang-Qiang], Li, J.[Jie], Li, Z.W.[Zhi-Wei], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei],
Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning,
PandRS(162), 2020, pp. 148-160.
Elsevier DOI 2004
Thick cloud and cloud shadow, Spatio-temporal, Gap-filling, Patch group, Global-local CNN, Progressive iteration BibRef

Jiao, L.B.[Li-Bin], Huo, L.Z.[Lian-Zhi], Hu, C.M.[Chang-Miao], Tang, P.[Ping],
Refined UNet: UNet-Based Refinement Network for Cloud and Shadow Precise Segmentation,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

Zhou, F.[Fuqun], Zhong, D.[Detang], Peiman, R.[Rihana],
Reconstruction of Cloud-free Sentinel-2 Image Time-series Using an Extended Spatiotemporal Image Fusion Approach,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008

Ibrahim, E.[Elsy], Jiang, J.Y.[Jing-Yi], Lema, L.[Luisa], Barnabé, P.[Pierre], Giuliani, G.[Gregory], Lacroix, P.[Pierre], Pirard, E.[Eric],
Cloud and Cloud-Shadow Detection for Applications in Mapping Small-Scale Mining in Colombia Using Sentinel-2 Imagery,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Magno, R.[Ramona], Rocchi, L.[Leandro], Dainelli, R.[Riccardo], Matese, A.[Alessandro], Gennaro, S.F.D.[Salvatore Filippo Di], Chen, C.F.[Chi-Farn], Son, N.T.[Nguyen-Thanh], Toscano, P.[Piero],
AgroShadow: A New Sentinel-2 Cloud Shadow Detection Tool for Precision Agriculture,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104

Czarnecki, J.M.P.[Joby M. Prince], Samiappan, S.[Sathishkumar], Zhou, M.[Meilun], McCraine, C.D.[Cary Daniel], Wasson, L.L.[Louis L.],
Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
Shadowing of clouds. BibRef

Wu, J.[Jiawen], Qin, Z.K.[Zheng-Kun], Li, J.[Juan], Wu, Z.W.[Zhi-Wen],
Development and Evaluation of AMSU-A Cloud Detection over the Tibetan Plateau,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205

Li, Z.W.[Zhi-Wei], Shen, H.[Huanfeng], Weng, Q.H.[Qi-Hao], Zhang, Y.[Yuzhuo], Dou, P.[Peng], Zhang, L.P.[Liang-Pei],
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects,
PandRS(188), 2022, pp. 89-108.
Elsevier DOI 2205
Cloud detection, Cloud shadow detection, Optical remote sensing, Satellite imagery, Cloudy and rainy regions BibRef

Zekoll, V.[Viktoria], de los Reyes, R.[Raquel], Richter, R.[Rudolf],
A Newly Developed Algorithm for Cloud Shadow Detection: TIP Method,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206

Zhou, J.J.[Jian-Jun], Luo, X.B.[Xiao-Bo], Rong, W.T.[Wen-Tao], Xu, H.[Hao],
Cloud Removal for Optical Remote Sensing Imagery Using Distortion Coding Network Combined with Compound Loss Functions,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208

Jiao, L.[Libin], Zheng, M.[Mocun], Tang, P.[Ping], Zhang, Z.[Zheng],
Towards Edge-Precise Cloud and Shadow Detection on the GaoFen-1 Dataset: A Visual, Comprehensive Investigation,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303

Zhang, C.[Chao], Weng, L.G.[Li-Guo], Ding, L.[Li], Xia, M.[Min], Lin, H.F.[Hai-Feng],
CRSNet: Cloud and Cloud Shadow Refinement Segmentation Networks for Remote Sensing Imagery,
RS(15), No. 6, 2023, pp. 1664.
DOI Link 2304

Fan, X.[Xin], Chang, H.[Hao], Huo, L.Z.[Lian-Zhi], Hu, C.M.[Chang-Miao],
GF-1/6 Satellite Pixel-by-Pixel Quality Tagging Algorithm,
RS(15), No. 7, 2023, pp. 1955.
DOI Link 2304

Zheng, W.J.[Wen-Jie], Zhao, X.L.[Xi-Le], Zheng, Y.B.[Yu-Bang], Lin, J.[Jie], Zhuang, L.[Lina], Huang, T.Z.[Ting-Zhu],
Spatial-spectral-temporal connective tensor network decomposition for thick cloud removal,
PandRS(199), 2023, pp. 182-194.
Elsevier DOI 2305
Thick cloud removal, Multi-temporal remote sensing image, Spatial-spectral-temporal connective, Proximal alternating minimization BibRef

Ji, H.[Huiwen], Xia, M.[Min], Zhang, D.S.[Dong-Sheng], Lin, H.F.[Hai-Feng],
Multi-Supervised Feature Fusion Attention Network for Clouds and Shadows Detection,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307

Layton, J.C.[Jeffrey C.], Wecker, L.[Lakin], Runions, A.[Adam], Samavati, F.F.[Faramarz F.],
Cloud Shadow Detection via Ray Casting with Probability Analysis Refinement Using Sentinel-2 Satellite Data,
RS(15), No. 16, 2023, pp. 3955.
DOI Link 2309

Dai, X.[Xin], Chen, K.[Kai], Xia, M.[Min], Weng, L.G.[Li-Guo], Lin, H.F.[Hai-Feng],
LPMSNet: Location Pooling Multi-Scale Network for Cloud and Cloud Shadow Segmentation,
RS(15), No. 16, 2023, pp. 4005.
DOI Link 2309

Zhou, X.Y., Sun, L.,
A New Cloud Shadow Detection Algorithm Based on Prior Land Type Database Support,
DOI Link 2012

Place, C.L., Urooj, A., Borji, A.,
Segmenting Sky Pixels in Images: Analysis and Comparison,
image segmentation, sky brightness, outdoor scene parsing models, night-time images, seasonal weather, RefineNet model, Clouds BibRef

Champion, N.[Nicolas],
Automatic Detection Of Clouds And Shadows Using High Resolution Satellite Image Time Series,
ISPRS16(B3: 475-479).
DOI Link 1610

Sah, A.K., Sah, B.P., Honji, K., Kubo, N., Senthil, S.,
Semi-automated Cloud/shadow Removal And Land Cover Change Detection Using Satellite Imagery,
DOI Link 1209

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

Last update:Aug 31, 2023 at 09:37:21