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feature extraction
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Computer architecture
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Cloud mask; Data fusion; High resolution; Medium resolution; Region growing
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1307
clouds;
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1307
Clouds; Ice; cloud remote sensing
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Bayes methods
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Using Lunar Observations to Validate In-Flight Calibrations of Clouds
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Calibration
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atmospheric radiation
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Atzberger, C.[Clement],
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1604
clouds
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Liu, C.,
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1604
atmospheric optics
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Hiley, M.[Michael],
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Bai, T.[Ting],
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Cloud Detection for High-Resolution Satellite Imagery Using Machine
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DOI Link
1610
BibRef
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
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PandRS(121), No. 1, 2016, pp. 143-156.
Elsevier DOI
1609
Terrian extraction
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Tan, K.[Kai],
Zhang, Y.J.[Yong-Jun],
Tong, X.[Xin],
Cloud Extraction from Chinese High Resolution Satellite Imagery by
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RS(8), No. 11, 2016, pp. 963.
DOI Link
1612
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Chen, B.,
Huang, B.,
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Xu, B.,
Spatially and Temporally Weighted Regression:
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IEEE DOI
1701
feature extraction
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Tian, X.P.[Xin-Peng],
Yu, H.Y.[Hui-Yong],
Gan, P.[Ping],
A cloud detection algorithm-generating method for remote sensing data
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PandRS(124), No. 1, 2017, pp. 70-88.
Elsevier DOI
1702
Hyperspectral sensor
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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,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Tahsin, S.[Subrina],
Medeiros, S.C.[Stephen C.],
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Optical Cloud Pixel Recovery via Machine Learning,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
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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
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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
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Reguiegue, M.[Mourad],
Chouireb, F.[Fatima],
Automatic day time cloud detection over land and sea from MSG SEVIRI
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Ishida, H.[Haruma],
Nakajima, T.Y.[Takashi Y.],
Nakamura, R.[Ryosuke],
Matsunaga, T.[Tsuneo],
The Impact of Different Support Vectors on GOSAT-2 CAI-2 L2 Cloud
Discrimination,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Bulgin, C.E.[Claire E.],
Mittaz, J.P.D.[Jonathan P. D.],
Embury, O.[Owen],
Eastwood, S.[Steinar],
Merchant, C.J.[Christopher J.],
Bayesian Cloud Detection for 37 Years of Advanced Very High
Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Data,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Bulgin, C.E.[Claire E.],
Embury, O.[Owen],
Maidment, R.I.[Ross I.],
Merchant, C.J.[Christopher J.],
Bayesian Cloud Detection over Land for Climate Data Records,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Li, H.Y.[Hao-Yang],
Zheng, H.[Hong],
Han, C.Z.[Chuan-Zhao],
Wang, H.B.[Hai-Bo],
Miao, M.[Min],
Onboard Spectral and Spatial Cloud Detection for Hyperspectral Remote
Sensing Images,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Malek, S.,
Melgani, F.,
Bazi, Y.,
Alajlan, N.,
Reconstructing Cloud-Contaminated Multispectral Images With
Contextualized Autoencoder Neural Networks,
GeoRS(56), No. 4, April 2018, pp. 2270-2282.
IEEE DOI
1804
Clouds, Image reconstruction, Neural networks, Optimization,
Reconstruction algorithms, Remote sensing, Training,
multiobjective optimization (MO optimization)
BibRef
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Stöckli, R.[Reto],
Duguay-Tetzlaff, A.[Anke],
Finkensieper, S.[Stephan],
Hollmann, R.[Rainer],
Performance Assessment of the COMET Cloud Fractional Cover
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1806
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Sawada, Y.[Yoshito],
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Nakamura, R.[Ryosuke],
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Impact of Changes in Minimum Reflectance on Cloud Discrimination,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
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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
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RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
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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,
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1806
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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,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
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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,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
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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.
DOI Link
1808
BibRef
Chen, S.[Shuli],
Chen, X.H.[Xue-Hong],
Chen, X.[Xiang],
Chen, J.[Jin],
Cao, X.[Xin],
Shen, M.G.[Miao-Gen],
Yang, W.[Wei],
Cui, X.H.[Xi-Hong],
A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories
for Landsat Imagery,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
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Cermak, J.[Jan],
Fog and Low Cloud Frequency and Properties from Active-Sensor
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RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Wang, J.,
Liu, C.,
Min, M.,
Hu, X.,
Lu, Q.,
Husi, L.,
Effects and Applications of Satellite Radiometer 2.25-mu-m Channel on
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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
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Novo, E.M.L.M.[Evlyn M.L.M.],
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Hefei EMI Cloud Retrieval Algorithm.
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Clouds, Remote sensing, Image reconstruction, Machine learning,
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Kovaleva, N.[Nadezhda],
Gavrikov, A.[Alexander],
On the Generalization Ability of Data-Driven Models in the Problem of
Total Cloud Cover Retrieval,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Li, E.,
Zhang, Z.,
Tan, Y.,
Wang, Q.,
A Novel Cloud Detection Algorithm Based on Simplified Radiative
Transfer Model for Aerosol Retrievals: Preliminary Result on
Himawari-8 Over Eastern China,
GeoRS(59), No. 3, March 2021, pp. 2550-2561.
IEEE DOI
2103
Clouds, Satellites, Aerosols, Cloud computing, Sea surface,
Heuristic algorithms, Ocean temperature, Aerosol retrievals,
simplified radiative transfer model (RTM)
BibRef
López-Puigdollers, D.[Dan],
Mateo-García, G.[Gonzalo],
Gómez-Chova, L.[Luis],
Benchmarking Deep Learning Models for Cloud Detection in Landsat-8
and Sentinel-2 Images,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Minnis, P.,
Sun-Mack, S.,
Chen, Y.,
Chang, F.L.,
Yost, C.R.,
Smith, W.L.,
Heck, P.W.,
Arduini, R.F.,
Bedka, S.T.,
Yi, Y.,
Hong, G.,
Jin, Z.,
Painemal, D.,
Palikonda, R.,
Scarino, B.R.,
Spangenberg, D.A.,
Smith, R.A.,
Trepte, Q.Z.,
Yang, P.,
Xie, Y.,
CERES MODIS Cloud Product Retrievals for Edition 4: Part I: Algorithm
Changes,
GeoRS(59), No. 4, April 2021, pp. 2744-2780.
IEEE DOI
2104
Clouds, MODIS, Integrated optics, Ice, Cloud computing, Meteorology,
Optical imaging, Climate, cloud, cloud height, cloud particle size,
validation
BibRef
Yost, C.R.[Christopher R.],
Minnis, P.[Patrick],
Sun-Mack, S.[Sunny],
Chen, Y.[Yan],
Smith, W.L.[William L.],
CERES MODIS Cloud Product Retrievals for Edition 4: Part II:
Comparisons to CloudSat and CALIPSO,
GeoRS(59), No. 5, May 2021, pp. 3695-3724.
IEEE DOI
2104
Clouds, MODIS, Ice, Integrated optics, Optical imaging,
Optical sensors, Laser radar, Climate, cloud height, validation
BibRef
Gupta, R.[Rachana],
Nanda, S.J.[Satyasai Jagannath],
Improved framework of many-objective evolutionary algorithm to handle
cloud detection problem in satellite imagery,
IET-IPR(14), No. 17, 24 December 2020, pp. 4795-4807.
DOI Link
2104
BibRef
Xiong, Q.[Quan],
Di, L.P.[Li-Ping],
Feng, Q.L.[Quan-Long],
Liu, D.Y.[Di-You],
Liu, W.[Wei],
Zan, X.L.[Xu-Li],
Zhang, L.[Lin],
Zhu, D.H.[De-Hai],
Liu, Z.[Zhe],
Yao, X.C.[Xiao-Chuang],
Zhang, X.D.[Xiao-Dong],
Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and
Near-Infrared Bands from Sentinel-1 Images Based on a Conditional
Generative Adversarial Network,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Ding, N.[Ning],
Shao, J.B.[Jian-Bing],
Yan, C.X.[Chang-Xiang],
Zhang, J.Q.[Jun-Qiang],
Qiao, Y.F.[Yan-Feng],
Pan, Y.[Yun],
Yuan, J.[Jing],
Dong, Y.Z.[You-Zhi],
Yu, B.[Bo],
Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection
Algorithm for TANSAT-CAPI,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Luotamo, M.[Markku],
Metsämäki, S.[Sari],
Klami, A.[Arto],
Multiscale Cloud Detection in Remote Sensing Images Using a Dual
Convolutional Neural Network,
GeoRS(59), No. 6, June 2021, pp. 4972-4983.
IEEE DOI
2106
Clouds, Image segmentation, Cloud computing, Semantics,
Remote sensing, Image resolution, Annotations, Cloud detection
BibRef
Zhang, Q.[Qiang],
Yuan, Q.Q.[Qiang-Qiang],
Li, Z.W.[Zhi-Wei],
Sun, F.J.[Fu-Jun],
Zhang, L.P.[Liang-Pei],
Combined deep prior with low-rank tensor SVD for thick cloud removal
in multitemporal images,
PandRS(177), 2021, pp. 161-173.
Elsevier DOI
2106
Thick cloud removal, Multitemporal images, Spatio-temporal,
Low-rank tensor SVD, Deep prior
BibRef
Ebel, P.[Patrick],
Meraner, A.[Andrea],
Schmitt, M.[Michael],
Zhu, X.X.[Xiao Xiang],
Multisensor Data Fusion for Cloud Removal in Global and All-Season
Sentinel-2 Imagery,
GeoRS(59), No. 7, July 2021, pp. 5866-5878.
IEEE DOI
2106
Clouds, Optical imaging, Cloud computing, Earth, Optical sensors,
Data integration, Image reconstruction, Cloud removal, data fusion,
synthetic aperture radar (SAR)-optical
BibRef
Zheng, K.[Kai],
Li, J.S.[Jian-Sheng],
Ding, L.[Lei],
Yang, J.F.[Jian-Feng],
Zhang, X.C.[Xu-Cheng],
Zhang, X.[Xun],
Cloud and Snow Segmentation in Satellite Images Using an
Encoder-Decoder Deep Convolutional Neural Networks,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Zheng, J.H.[Jia-Hao],
Liu, X.Y.[Xiao-Yang],
Wang, X.D.[Xiao-Dong],
Single Image Cloud Removal Using U-Net and Generative Adversarial
Networks,
GeoRS(59), No. 8, August 2021, pp. 6371-6385.
IEEE DOI
2108
Clouds, Image restoration, Satellites, Cloud computing,
Task analysis, Visualization, Sensors, Encoder-decoder,
U-Net
BibRef
Yao, J.Q.[Jia-Qi],
Tang, X.M.[Xin-Ming],
Li, G.Y.[Guo-Yuan],
Guo, J.Q.[Jin-Quan],
Chen, J.[Jiyi],
Yang, X.D.[Xiong-Dan],
Ai, B.[Bo],
Cloud detection of GF-7 satellite laser footprint image,
IET-IPR(15), No. 10, 2021, pp. 2127-2134.
DOI Link
2108
BibRef
Li, X.L.[Xiao-Long],
Zheng, H.[Hong],
Han, C.Z.[Chuan-Zhao],
Zheng, W.T.[Wen-Tao],
Chen, H.[Hao],
Jing, Y.[Ying],
Dong, K.[Kaihan],
SFRS-Net: A Cloud-Detection Method Based on Deep Convolutional Neural
Networks for GF-1 Remote-Sensing Images,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Lee, S.[Soobong],
Choi, J.[Jaewan],
Daytime Cloud Detection Algorithm Based on a Multitemporal Dataset
for GK-2A Imagery,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Ma, N.[Nan],
Sun, L.[Lin],
Zhou, C.H.[Cheng-Hu],
He, Y.W.[Ya-Wen],
Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery
Based on a Spectral Library and 1D Convolutional Neural Network,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Yu, X.H.[Xiao-He],
Lary, D.J.[David J.],
Cloud Detection Using an Ensemble of Pixel-Based Machine Learning
Models Incorporating Unsupervised Classification,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Li, W.B.[Wang-Bin],
Sun, K.[Kaimin],
Du, Z.T.[Zhuo-Tong],
Hu, X.Q.[Xiu-Qing],
Li, W.Z.[Wen-Zhuo],
Wei, J.J.[Jin-Jiang],
Gao, S.[Song],
PCNet: Cloud Detection in FY-3D True-Color Imagery Using Multi-Scale
Pyramid Contextual Information,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Yao, X.D.[Xu-Dong],
Guo, Q.[Qing],
Li, A.[An],
Light-Weight Cloud Detection Network for Optical Remote Sensing
Images with Attention-Based DeeplabV3+ Architecture,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Wu, Z.W.[Zhi-Wen],
Li, J.[Juan],
Qin, Z.K.[Zheng-Kun],
Development and Evaluation of a New Method for AMSU-A Cloud Detection
over Land,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Gao, J.[Jianhao],
Yi, Y.[Yang],
Wei, T.[Tang],
Zhang, H.[Haoguan],
Sentinel-2 Cloud Removal Considering Ground Changes by Fusing
Multitemporal SAR and Optical Images,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Domnich, M.[Marharyta],
Sünter, I.[Indrek],
Trofimov, H.[Heido],
Wold, O.[Olga],
Harun, F.[Fariha],
Kostiukhin, A.[Anton],
Järveoja, M.[Mihkel],
Veske, M.[Mihkel],
Tamm, T.[Tanel],
Voormansik, K.[Kaupo],
Olesk, A.[Aire],
Boccia, V.[Valentina],
Longepe, N.[Nicolas],
Cadau, E.G.[Enrico Giuseppe],
KappaMask: AI-Based Cloudmask Processor for Sentinel-2,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Hu, K.[Kai],
Zhang, D.S.[Dong-Sheng],
Xia, M.[Min],
CDUNet: Cloud Detection UNet for Remote Sensing Imagery,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Yang, X.M.[Xiao-Meng],
Sun, L.[Lin],
Tang, X.M.[Xin-Ming],
Ai, B.[Bo],
Xu, H.W.[Han-Wen],
Wen, Z.[Zhen],
An Improved Fmask Method for Cloud Detection in GF-6 WFV Based on
Spectral-Contextual Information,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Cao, R.[Ruyin],
Feng, Y.[Yan],
Chen, J.[Jin],
Zhou, J.[Ji],
A Supplementary Module to Improve Accuracy of the Quality Assessment
Band in Landsat Cloud Images,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Chen, Y.[Yang],
Weng, Q.H.[Qi-Hao],
Tang, L.[Luliang],
Zhang, X.[Xia],
Bilal, M.[Muhammad],
Li, Q.Q.[Qing-Quan],
Thick Clouds Removing From Multitemporal Landsat Images Using
Spatiotemporal Neural Networks,
GeoRS(60), 2022, pp. 1-14.
IEEE DOI
2112
Clouds, Remote sensing, Earth, Artificial satellites,
Spatiotemporal phenomena, Image reconstruction,
spatial-temporal feature fusion
BibRef
He, Q.B.[Qi-Bin],
Sun, X.[Xian],
Yan, Z.Y.[Zhi-Yuan],
Fu, K.[Kun],
DABNet: Deformable Contextual and Boundary-Weighted Network for Cloud
Detection in Remote Sensing Images,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI
2112
Feature extraction, Remote sensing, Clouds, Convolutional codes,
Computational modeling, Semantics, Adaptation models,
remote sensing images
BibRef
Christovam, L.E.[Luiz E.],
Shimabukuro, M.H.[Milton H.],
Galo, M.D.B.T.[Maria De_Lourdes B. T.],
Honkavaara, E.[Eija],
Pix2pix Conditional Generative Adversarial Network with MLP Loss
Function for Cloud Removal in a Cropland Time Series,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Zhou, Y.[Ying],
Jing, W.P.[Wei-Peng],
Wang, J.[Jian],
Chen, G.S.[Guang-Sheng],
Scherer, R.[Rafal],
Damaevicius, R.[Robertas],
MSAR-DefogNet: Lightweight cloud removal network for high resolution
remote sensing images based on multi scale convolution,
IET-IPR(16), No. 3, 2022, pp. 659-668.
DOI Link
2202
BibRef
Choi, Y.J.[Yun-Jeong],
Ban, H.J.[Hyun-Ju],
Han, H.J.[Hee-Jeong],
Hong, S.[Sungwook],
A Maritime Cloud-Detection Method Using Visible and Near-Infrared
Bands over the Yellow Sea and Bohai Sea,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Sui, S.[Songman],
Sun, L.[Lin],
Comparative Analysis of Several Typical Landsat 8 OLI Cloud Detection
Methods,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Paszkuta, M.[Marcin],
Krezel, A.[Adam],
Rylko, N.[Natalia],
Application of Shape Moments for Cloudiness Assessment in Marine
Environmental Research,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Wu, K.[Kang],
Xu, Z.X.[Zun-Xiao],
Lyu, X.R.[Xin-Rong],
Ren, P.[Peng],
Cloud detection with boundary nets,
PandRS(186), 2022, pp. 218-231.
Elsevier DOI
2203
Cloud detection, Boundary nets
BibRef
Czerkawski, M.[Mikolaj],
Upadhyay, P.[Priti],
Davison, C.[Christopher],
Werkmeister, A.[Astrid],
Cardona, J.[Javier],
Atkinson, R.[Robert],
Michie, C.[Craig],
Andonovic, I.[Ivan],
Macdonald, M.[Malcolm],
Tachtatzis, C.[Christos],
Deep Internal Learning for Inpainting of Cloud-Affected Regions in
Satellite Imagery,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link
2204
BibRef
And:
Correction:
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wang, Y.X.[Yu-Xi],
Lin, Z.H.[Zhao-Hui],
Wu, C.L.[Cheng-Lai],
Comparison of the Spatial and Temporal Variability of Cloud Amounts
over China Derived from Different Satellite Datasets,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Luo, C.[Chen],
Feng, S.S.[Shan-Shan],
Li, X.T.[Xu-Tao],
Ye, Y.M.[Yun-Ming],
Zhang, B.Q.[Bao-Quan],
Chen, Z.H.[Zhi-Hao],
Quan, Y.L.[Ying-Ling],
ECDNet: A bilateral lightweight cloud detection network for remote
sensing images,
PR(129), 2022, pp. 108713.
Elsevier DOI
2206
Lightweight network, Efficient cloud detection, Dual-branch architecture
BibRef
Guo, J.H.[Jian-Hua],
Xu, Q.S.[Qing-Song],
Zeng, Y.[Yue],
Liu, Z.H.[Zhi-Heng],
Zhu, X.X.[Xiao-Xiang],
Semi-Supervised Cloud Detection in Satellite Images by Considering
the Domain Shift Problem,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Liu, L.[Lei],
Ye, J.[Jin],
Li, S.[Shulei],
Hu, S.[Shuai],
Wang, Q.[Qi],
A Novel Machine Learning Algorithm for Cloud Detection Using AERI
Measurement Data,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Chen, S.J.[Shan-Jing],
Zhang, W.J.[Wen-Juan],
Li, Z.[Zhen],
Wang, Y.X.[Yu-Xi],
Zhang, B.[Bing],
Cloud Removal with SAR-Optical Data Fusion and Graph-Based Feature
Aggregation Network,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Pitonak, R.[Radoslav],
Mucha, J.[Jan],
Dobis, L.[Lukas],
Javorka, M.[Martin],
Marusin, M.[Marek],
CloudSatNet-1: FPGA-Based Hardware-Accelerated Quantized CNN for
Satellite On-Board Cloud Coverage Classification,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Guo, Q.[Qing],
Tong, L.Z.[Lian-Zi],
Yao, X.D.[Xu-Dong],
Wu, Y.W.[Ye-Wei],
Wan, G.T.[Guang-Tong],
CD_HIEFNet: Cloud Detection Network Using Haze Optimized
Transformation Index and Edge Feature for Optical Remote Sensing
Imagery,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Yan, Q.[Qing],
Liu, H.[Hu],
Zhang, J.J.[Jing-Jing],
Sun, X.B.[Xia-Bing],
Xiong, W.[Wei],
Zou, M.M.[Ming-Min],
Xia, Y.[Yi],
Xun, L.[Lina],
Cloud Detection of Remote Sensing Image Based on Multi-Scale Data and
Dual-Channel Attention Mechanism,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Xu, F.[Fang],
Shi, Y.L.[Yi-Lei],
Ebel, P.[Patrick],
Yu, L.[Lei],
Xia, G.S.[Gui-Song],
Yang, W.[Wen],
Zhu, X.X.[Xiao Xiang],
GLF-CR: SAR-enhanced cloud removal with global-local fusion,
PandRS(192), 2022, pp. 268-278.
Elsevier DOI
2209
Cloud removal, Data fusion, SAR, Transformer
BibRef
Ran, Y.Z.[Yin-Ze],
Ma, H.Y.[Hui-Yun],
Liu, Z.W.[Zeng-Wei],
Wu, X.J.[Xiao-Jing],
Li, Y.[Yanan],
Feng, H.H.[Hui-Hui],
Satellite Fog Detection at Dawn and Dusk Based on the Deep Learning
Algorithm under Terrain-Restriction,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Pu, W.H.[Wei-Hua],
Wang, Z.P.[Zhi-Pan],
Liu, D.[Di],
Zhang, Q.L.[Qing-Ling],
Optical Remote Sensing Image Cloud Detection with Self-Attention and
Spatial Pyramid Pooling Fusion,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Lin, Y.[Yi],
He, L.[Lin],
Zhang, Y.[Yi],
Wu, Z.C.[Zhao-Cong],
Cloud Detection of Gaofen-2 Multi-Spectral Imagery Based on the
Modified Radiation Transmittance Map,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Imran, S.[Shoaib],
Tahir, M.[Muhammad],
Khalid, Z.[Zubair],
Uppal, M.[Momin],
A Deep Unfolded Prior-Aided RPCA Network for Cloud Removal,
SPLetters(29), 2022, pp. 2048-2052.
IEEE DOI
2210
Sparse matrices, Image reconstruction, Remote sensing,
Optical sensors, Optical imaging, Earth, Minimization, Cloud removal,
shadow removal
BibRef
Li, X.M.[Xue-Mei],
Ye, H.P.[Hu-Ping],
Qiu, S.[Shi],
Cloud Contaminated Multispectral Remote Sensing Image Enhancement
Algorithm Based on MobileNet,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Bai, C.[Cong],
Zhang, M.J.[Min-Jing],
Zhang, J.L.[Jing-Lin],
Zheng, J.W.[Jian-Wei],
Chen, S.Y.[Sheng-Yong],
LSCIDMR: Large-Scale Satellite Cloud Image Database for
Meteorological Research,
Cyber(52), No. 11, November 2022, pp. 12538-12550.
IEEE DOI
2211
Clouds, Satellites, Meteorology, Databases, Annotations, Deep learning,
Cloud computing, Benchmark database, cloud image, deep learning,
single and multiple labels
BibRef
Peek, O.[Ondrej],
Segal-Rozenhaimer, M.[Michal],
Karnieli, A.[Arnon],
Using Convolutional Neural Networks for Cloud Detection on VENnuS
Images over Multiple Land-Cover Types,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Wang, R.[Ruifu],
Teng, D.D.[Dong-Dong],
Yu, W.Q.[Wen-Qing],
Zhang, X.[Xi],
Zhu, J.[Jinshan],
Improvement and Application of a GAN Model for Time Series Image
Prediction: A Case Study of Time Series Satellite Cloud Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Noh, Y.J.[Yoo-Jeong],
Haynes, J.M.[John M.],
Miller, S.D.[Steven D.],
Seaman, C.J.[Curtis J.],
Heidinger, A.K.[Andrew K.],
Weinrich, J.[Jeffrey],
Kulie, M.S.[Mark S.],
Niznik, M.[Mattie],
Daub, B.J.[Brandon J.],
A Framework for Satellite-Based 3D Cloud Data: An Overview of the
VIIRS Cloud Base Height Retrieval and User Engagement for Aviation
Applications,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Salazar, C.[Carlos],
Gonzalez-Llorente, J.[Jesus],
Cardenas, L.[Lorena],
Mendez, J.[Javier],
Rincon, S.[Sonia],
Rodriguez-Ferreira, J.[Julian],
Acero, I.F.[Ignacio F.],
Cloud Detection Autonomous System Based on Machine Learning and COTS
Components On-Board Small Satellites,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Wu, P.Y.[Pei-Yang],
Pan, Z.X.[Zong-Xu],
Tang, H.R.[Hai-Rong],
Hu, Y.X.[Yu-Xin],
Cloudformer: A Cloud-Removal Network Combining Self-Attention
Mechanism and Convolution,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Ge, K.Q.[Kai-Qiang],
Liu, J.Y.[Jia-Yin],
Wang, F.[Feng],
Chen, B.[Bo],
Hu, Y.X.[Yu-Xin],
A Cloud Detection Method Based on Spectral and Gradient Features for
SDGSAT-1 Multispectral Images,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Ma, D.Y.[De-Ying],
Wu, R.Z.[Ren-Zhe],
Xiao, D.S.[Dong-Sheng],
Sui, B.[Baikai],
Cloud Removal from Satellite Images Using a Deep Learning Model with
the Cloud-Matting Method,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Xiong, Q.[Quan],
Li, G.Q.[Guo-Qing],
Yao, X.C.[Xiao-Chuang],
Zhang, X.D.[Xiao-Dong],
SAR-to-Optical Image Translation and Cloud Removal Based on
Conditional Generative Adversarial Networks: Literature Survey,
Taxonomy, Evaluation Indicators, Limits and Future Directions,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
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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
BibRef
Pang, S.[Shulin],
Sun, L.[Lin],
Tian, Y.[Yanan],
Ma, Y.[Yutiao],
Wei, J.[Jing],
Convolutional Neural Network-Driven Improvements in Global Cloud
Detection for Landsat 8 and Transfer Learning on Sentinel-2 Imagery,
RS(15), No. 6, 2023, pp. 1706.
DOI Link
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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
BibRef
Zhao, X.[Xiaohu],
Jia, K.[Kebin],
Cloud Removal in Remote Sensing Using Sequential-Based Diffusion
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RS(15), No. 11, 2023, pp. 2861.
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2306
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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
BibRef
Ding, Y.H.[Yu-Hao],
Liu, Q.[Qi],
Lao, P.[Ping],
Li, M.[Meng],
Li, Y.[Yuan],
Zheng, Q.[Qun],
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Spatial Distributions of Cloud Occurrences in Terms of Volume
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Earth, Deep learning, Cloud computing, Satellites, Clouds,
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clouds, geophysical image processing, image classification,
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Mohajerani, S.,
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Cloud detection, Landsat 8, remote sensing imagery,
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Cloud removal, satellite image, convolutional neural network
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clouds, edge detection, geophysical image processing,
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Nighttime sky/cloud image segmentation,
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clouds, geophysical image processing, image segmentation,
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Cloud tracking for solar irradiance prediction,
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1803
Cameras, Estimation, Image segmentation, Motion segmentation,
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clouds, convex programming, image colour analysis,
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Iannone, R.Q.,
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Goryl, P.,
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Amato, U.,
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1712
atmospheric techniques, clouds, remote sensing, European countries,
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Clouds, Colored noise, Image color analysis, Satellites,
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Clouds, Convolution, Image segmentation, Imaging, Radar imaging,
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Dynamic programming
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computer vision
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Algorithm design and analysis
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Liu, X.W.[Xiu-Wen],
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clouds
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Cerra, D.,
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Earlier: A1, A3, A4, Only:
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Shahrisvand, M.,
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Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Thin Cloud Detection and Removal .