Please wait a minute...
REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (4) : 6-7     DOI: 10.6046/gtzyyg.2017.04.02
A review of cloud detection methods in remote sensing images
LIU Zihan, WU Yanlan
School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China
Download: PDF(715 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    

Cloud cover is the main factor affecting the quality of remote sensing image. Cloud detection for remote sensing images is one of the principal problems that must be solved in remote sensing data restoration processing. On the basis of extensive investigation of existing articles, the research status of cloud detection is analyzed, and then a classification and comprehensive overview of cloud detection methods is presented, the cloud detection methods for several kinds of commonly used satellite data are also given. By comparing the cloud detection methods, the existing problems and development trend of cloud detection method are discussed.

Keywords wetland      remote sensing monitor      dynamics      human factor      Manas River basin     
:  TP751.1  
Issue Date: 04 December 2017
E-mail this article
E-mail Alert
Articles by authors
WEI Benzan
FU Lihua
FAN Fang
JIE Wenhui
DONG Shuangfa
Cite this article:   
WEI Benzan,FU Lihua,FAN Fang, et al. A review of cloud detection methods in remote sensing images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 6-7.
URL:     OR

[1] 李志军,王卫华,牛照东,等.城区红外遥感云层检测技术[J].中国激光,2012,39(11):1108006.
Li Z J,Wang W H,Niu Z D,et al.Cloud recognition from infrared remote sensing images under city background[J].Chinese Journal of Lasers,2012,39(11):1108006.
[2] Zhang Y C,Rossow W B,Lacis A A,et al.Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets:Refinements of the radiative transfer model and the input data[J].Journal of Geophysical Research,2004,109(D19):D19105.
[3] Zhu Z,Woodcock C E.Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data:An algorithm designed specifically for monitoring land cover change[J].Remote Sensing of Environment,2014,152:217-234.
[4] 陆雅君,陈刚毅,龚克坚,等.测云方法研究进展[J].气象科技,2012,40(5):689-697.
Lu Y J,Chen G Y,Gong K J,et al.Overview of researches on cloud sounding methods[J].Meteorological Science and Technology,2012,40(5):689-697.
[5] 侯舒维,孙文方,郑小松.遥感图像云检测方法综述[J].空间电子技术,2014,11(3):68-76,86.
Hou S W,Sun W F,Zheng X S.Overview of cloud detection methods in remote sensing images[J].Space Electronic Technology,2014,11(3):68-76,86.
[6] 李 微,方圣辉,佃袁勇,等.基于光谱分析的MODIS云检测算法研究[J].武汉大学学报(信息科学版),2005,30(11):435-438,443.
Li W,Fang S H,Dian Y Y,et al.Cloud detection in MODIS data based on spectrum analysis[J].Geomatics and Information Science of Wuhan University,2005,30(11):435-438,443.
[7] Kotarba A Z.Evaluation of ISCCP cloud amount with MODIS observations[J].Atmospheric Research,2015,153:310-317.
[8] Kegelmeyer W P Jr.Extraction of Cloud Statistics from Whole Sky Imaging Cameras[R].Livermore,CA,United States:Sandia National Labs,1994.
[9] Baum B A,Trepte Q.A grouped threshold approach for scene identification in AVHRR imagery[J].Journal of Atmospheric and Oceanic Technology,1999,16(6):793-800.
[10] Irish R R.Landsat 7 automatic cloud cover assessment[C]//Proceedings of SPIE Algorithms for Multispectral,Hyperspectral,and Ultraspectral Imagery VI.Orlando,FL:SPIE,2000,4049:348-355.
[11] 刘 希,许健民,杜秉玉.用双通道动态阈值对GMS-5图像进行自动云检测[J].应用气象学报,2005,16(4):434-444.
Liu X,Xu J M,Du B Y.A bi-channel dynamic threshold algorithm used in automatically identifying clouds on GMS-5 imagery[J].Journal of Applied Meteorological Science,2005,16(4):434-444.
[12] 马 芳,张 强,郭 铌,等.多通道卫星云图云检测方法的研究[J].大气科学,2007,31(1):119-128.
Ma F,Zhang Q,Guo N,et al.The study of cloud detection with multi-channel data of satellite[J].Chinese Journal of Atmospheric Sciences,2007,31(1):119-128.
[13] 曹 琼,郑 红,李行善.一种基于纹理特征的卫星遥感图像云探测方法[J].航空学报,2007,28(3):661-666.
Cao Q,Zheng H,Li X S.Method for detecting cloud in satellite remote sensing image based on texture[J].Acta Aeronautica et Astronautica Sinica,2007,28(3):661-666.
[14] 单 娜,郑天垚,王贞松.快速高准确度云检测算法及其应用[J].遥感学报,2009,13(6):1138-1155.
Shan N,Zheng T Y,Wang Z S.High-speed and high-accuracy algorithm for cloud detection and its application[J].Journal of Remote Sensing,2009,13(6):1138-1155.
[15] Liu Y,Xia J,Shi C X,et al.An improved cloud classification algorithm for China’s FY-2C multi-channel images using artificial neural network[J].Sensors,2009,9(7):5558-5579.
[16] 陈振炜,张 过,宁津生,等.资源三号测绘卫星自动云检测[J].测绘学报,2015,44(3):292-300.
Chen Z W,Zhang G,Ning J S,et al.An automatic cloud detection method for ZY-3 satellite[J].Acta Geodaetica et Cartographica Sinica,2015,44(3):292-300.
[17] Jedlovec G.Automated detection of clouds in satellite imagery[M]//Jedlovec G.Advances in Geoscience and Remote Sensing.InTech Open Access Publisher,2009.
[18] Liu S,Zhang L B,Zhang Z,et al.Automatic cloud detection for all-sky images using superpixel segmentation[J].IEEE Geoscience and Remote Sensing Letters,2015,12(2):354-358.
[19] 刘龙飞,陈云浩,李 京.遥感影像纹理分析方法综述与展望[J].遥感技术与应用,2003,18(6):441-447.
Liu L F,Chen Y H,Li J.Texture analysis methods used in remote sensing images[J].Remote Sensing Technology and Application,2003,18(6):441-447.
[20] Jedlovec G J,Haines S L,Lafontaine F J.Spatial and temporal varying thresholds for cloud detection in GOES imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2008,46(6):1705-1717.
[21] Christodoulou C I,Michaelides S C,Pattichis C S.Multifeature texture analysis for the classification of clouds in satellite imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(11):2662-2668.
[22] Molnar G,Coakley J A Jr.Retrieval of cloud cover from satellite imagery data: A statistical approach[J].Journal of Geophysical Research,1985,90(D7):12960-12970.
[23] 刘志刚,李元祥,黄 峰.基于动态聚类的MODIS云检测算法[J].遥感信息,2007(4):33-35,75.
Liu Z G,Li Y X,Huang F.Cloud detection of MODIS satellite images based on dynamical cluster[J].Remote Sensing Information,2007(4):33-35,75.
[24] Zhang W D,He M X,Mak M W.Cloud detection using probabilistic neural networks[C]//Proceedings of International Geoscience and Remote Sensing Symposium.Sydney,NSW,Australia:IEEE,2001,5:2373-2375.
[25] Li P F,Dong L M,Xiao H C,et al.A cloud image detection method based on SVM vector machine[J].Neurocomputing,2015,169:34-42.
[26] 李 爽,丁圣彦,许叔明.遥感影像分类方法比较研究[J].河南大学学报(自然科学版),2002,32(2):70-73.
Li S,Ding S Y,Xu S M.The comparative study of remote sensing image classification[J].Journal of Henan University(Natural Science),2002,32(2):70-73.
[27] Susskind J,Barnet C D,Blaisdell J M.Retrieval of atmospheric and surface parameters from AIRS/AMSU/HSB data in the presence of clouds[J].IEEE Transactions on Geoscience and Remote Sensing,2003,41(2):390-409.
[28] 赫英明,王汉杰,姜祝辉.支持向量机在云检测中的应用[J].解放军理工大学学报(自然科学版),2009,10(2):191-194.
He Y M,Wang H J,Jiang Z H.Application of support vector machines in cloud detection[J].Journal of PLA University of Science and Technology(Natural Science Edition),2009,10(2):191-194.
[29] 潘 聪,夏 斌,陈 彧,等.基于模糊聚类的MODIS云检测算法研究[J].微计算机信息,2009,25(4):124-125.
Pan C,Xia B,Chen Y,et al.Cloud detection of MODIS data based on FCM[J].Microcomputer Information,2009,25(4):124-125.
[30] Hilker T,Lyapustin A I,Tucker C J,et al.Remote sensing of tropical ecosystems: Atmospheric correction and cloud masking matter[J].Remote Sensing of Environment,2012,127:370-384.
[31] Hagolle O,Huc M,Pascual D V,et al.A multi-temporal method for cloud detection, applied to FORMOSAT-2,VENμS,LANDSAT and SENTINEL-2 images[J].Remote Sensing of Environment,2010,114(8):1747-1755.
[32] 王丹凤,张记龙,王志斌,等.基于MODIS云产品的AIRS像素云检测[J].国土资源遥感,2013,25(1):13-17.doi:10.6046/gtzyyg.2013.01.03.
Wang D F,Zhang J L,Wang Z B,et al.AIRS pixel cloud detection using MODIS cloud products[J].Remote Sensing for Land and Resources,2013,25(1):13-17.doi:10.6046/gtzyyg.2013.01.03.
[33] 卢 姁,严 卫,何锡玉.利用MODIS云检测产品客观确定AIRS云检测[J].气象科技,2007,35(5):740-743.
Lu X,Yan W,He X Y.Objective identification of AIRS cloud mask with MODIS cloud products[J].Meteorological Science and Technology,2007,35(5):740-743.
[34] Zhu Z,Woodcock C E.Object-based cloud and cloud shadow detection in Landsat imagery[J].Remote Sensing of Environment,2012,118:83-94.
[35] Vermote E,El Saleous N.LEDAPS surface reflectance product description, version 2.0[Z].2007.
[36] 蒋嫚嫚,邵振峰.采用主成分分析的改进云检测算法[J].测绘科学,2015,40(2):150-154.
Jiang M M,Shao Z F.Advanced algorithm of PCA-based Fmask cloud detection[J].Science of Surveying and Mapping,2015,40(2):150-154.
[37] Zhu Z,Wang S X,Woodcock C E.Improvement and expansion of the Fmask algorithm:Cloud,cloud shadow,and snow detection for Landsats 4-7,8,and Sentinel 2 images[J].Remote Sensing of Environment,2015,159:269-277.
[38] Shao Z F,Hou J H,Jiang M M,et al.Cloud detection in Landsat imagery for Antarctic region using multispectral thresholds[C]//Proceedings of Remote Sensing of the Atmosphere,Clouds,and Precipitation.Beijing,China:SPIE,2014,9259:92590P.
[39] Sano E E,Ferreira L G,Asner G P,et al.Spatial and temporal probabilities of obtaining cloud-free Landsat images over the Brazilian tropical savanna[J].International Journal of Remote Sensing,2007,28(12):2739-2752.
[40] Escrig H,Batlles F J,Alonso J,et al.Cloud detection,classification and motion estimation using geostationary satellite imagery for cloud cover forecast[J].Energy,2013,55:853-859.
[41] Maturi E,Harris A,Mittaz J,et al.NOAA’s sea surface temperature products from operational geostationary satellites[J].Bulletin of the American Meteorological Society,2008,89(12):1877-1888.
[42] Peak J E,Tag P M.Toward automated interpretation of satellite imagery for navy shipboard applications[J].Bulletin of the American Meteorological Society,1992,73(7):995-1008.
[43] Xu W,Wooster M J,Roberts G,et al.New GOES imager algorithms for cloud and active fire detection and fire radiative power assessment across North,South and Central America[J].Remote Sensing of Environment,2010,114(9):1876-1895.
[44] Bley S,Deneke H.A threshold-based cloud mask for the high-resolution visible channel of Meteosat Second Generation SEVIRI[J].Atmospheric Measurement Techniques,2013,6:2713-2723.
[45] 郭洪涛,王 毅,刘向培,等.卫星云图云检测的一种综合优化方法[J].解放军理工大学学报(自然科学版),2010,11(2):221-227.
Guo H T,Wang Y,Liu X P,et al.Integrated optimal method of cloud detection with meteorological satellite data[J].Journal of PLA University of Science and Technology(Natural Science Edition),2010,11(2):221-227.
[46] 杨昌军,许健民,赵凤生.时间序列在FY2C云检测中的应用[J].大气与环境光学学报,2008,3(5):377-391.
Yang C J,Xu J M,Zhao F S.Application of time series in FY2C cloud detection[J].Journal of Atmospheric and Environmental Optics,2008,3(5):377-391.
[47] Taylor T E,O’Dell C W,O’Brien D M,et al.Comparison of cloud-screening methods applied to GOSAT near-infrared spectra[J].IEEE Transactions on Geoscience and Remote Sensing,2012,50(1):295-309.
[48] Taylor T E,O’Dell C W,Cronk H Q,et al.Evaluation of cloud and aerosol screening of early orbiting carbon observatory-2 observations with collocated MODIS measurements[C]//AGU Fall Meeting Abstracts.Washington,DC:AGU,2014.
[49] Schröder M,Bennartz R,Schüller L,et al.Generating cloudmasks in spatial high-resolution observations of clouds using texture and radiance information[J].International Journal of Remote Sensing,2002,23(20):4247-4261.
[50] Liu R G,Liu Y.Generation of new cloud masks from MODIS land surface reflectance products[J].Remote Sensing of Environment,2013,133:21-37.
[51] 谈建国,周红妹,陆 贤,等.NOAA卫星云检测和云修复业务应用系统的研制和建立[J].遥感技术与应用,2000,15(4):228-231.
Tan J G,Zhou H M,Lu X,et al.Research and establishment in operation system of cloud detection and rehabilitation applied to NOAA satellite[J].Remote Sensing Technology and Application,2000,15(4):228-231.
[52] Fisher A.Cloud and cloud-shadow detection in SPOT5 HRG imagery with automated morphological feature extraction[J].Remote Sensing,2014,6(1):776-800.
[53] 杨昌军.韦伯定律及时间序列在FY2C云检测中的应用研究[D].南京:南京信息工程大学,2007.
Yang C J.Study on the Application of Weber’s Law and Time Serials in FY2C Cloud Detection[D].Nanjing:Nanjing University of Information Science and Technology,2007.
[54] 文雄飞,董新奕,刘良明.“云指数法”云检测研究[J].武汉大学学报(信息科学版),2009,34(7):838-841.
Wen X F,Dong X Y,Liu L M.Cloud index method for cloud detection[J].Geomatics and Information Science of Wuhan University,2009,34(7):838-841.
[55] 师春香,吴蓉璋,项续康.多阈值和神经网络卫星云图云系自动分割试验[J].应用气象学报,2001,12(1):70-78.
Shi C X,Wu R Z,Xiang X K.Automatic segmentation of satellite image using hierarchical threshold and neural network[J].Quarterly Journal of Applied Meteorology,2001,12(1):70-78.
[56] 韩自发.基于稀疏表示的遥感图像去云方法研究[D].哈尔滨:哈尔滨工程大学,2013.
Han Z F.Study on Removing Cloud from Remote Sensing Image Based on Sparse Representation[D].Harbin:Harbin Engineering University,2013.

[1] HE Chenlinqiu, CHENG Bo, CHEN Jinfen, ZHANG Xiaoping. Information extraction methods of coastal wetland based on GF-3 fully polarimetric SAR data[J]. Remote Sensing for Natural Resources, 2021, 33(4): 105-110.
[2] CHEN Dong, YAO Weiling. Automatic numbering and method improvement of mine patches based on ArcPy and custom ArcToolbox[J]. Remote Sensing for Land & Resources, 2021, 33(2): 262-269.
[3] HU Suliyang, LI Hui, GU Yansheng, HUANG Xianyu, ZHANG Zhiqi, WANG Yingchun. An analysis of land use changes and driving forces of Dajiuhu wetland in Shennongjia based on high resolution remote sensing images: Constraints from the multi-source and long-term remote sensing information[J]. Remote Sensing for Land & Resources, 2021, 33(1): 221-230.
[4] DIAO Mingguang, LIU Wenjing, LI Jing, LIU Fang, WANG Yanzuo. Dynamic change detection method of vector result data in mine remote sensing monitoring[J]. Remote Sensing for Land & Resources, 2020, 32(3): 240-246.
[5] WANG Jie, LIU Xiaoyang, YANG Jinzhong, ZHOU Yingjie, An Na, WANG Zhihui. Typical model analysis of mine geological environment restoration and management in Zhejiang Province based on domestic high-resolution satellite data[J]. Remote Sensing for Land & Resources, 2020, 32(3): 216-221.
[6] Haigang SHI, Chunli LIANG, Jianyong ZHANG, Chunlei ZHANG, Xu CHENG. Remote sensing survey of the influence of coastline changes on the thermal discharge in the vicinity of Tianwan Nuclear Power Station[J]. Remote Sensing for Land & Resources, 2020, 32(2): 196-203.
[7] Xi LIU, Lina HAO, Xianhua YANG, Jie HUANG, Zhi ZHANG, Wunian YANG. Research and implementation of rapid statistical methods for mine remote sensing monitoring indicators[J]. Remote Sensing for Land & Resources, 2020, 32(2): 259-265.
[8] Jie WANG, Yaqiu YIN, Hang YU, Cunhao JIANG, Yu WAN. Remote sensing monitoring of mine geological environment in Zhejiang Province based on RS and GIS[J]. Remote Sensing for Land & Resources, 2020, 32(1): 232-236.
[9] Yuling ZHAO, Jinzhong YANG, Yaqiu YIN, Hang ZHAO, Jinbao HE, Han ZHANG. Research on remote sensing monitoring of zirconium-titanium sand mine exploitation and strategies of ecological restoration on the eastern beach of Hainan Island[J]. Remote Sensing for Land & Resources, 2019, 31(4): 143-150.
[10] Haiping WU, Shicun HUANG. Research on new construction land information extraction based on deep learning: Innovation exploration of the national project of land use monitoring via remote sensing[J]. Remote Sensing for Land & Resources, 2019, 31(4): 159-166.
[11] Zhen CHEN, Yunshi ZHANG, Yuanyu ZHANG, Lingling SANG. A study of remote sensing monitoring methods for the high standard farmland[J]. Remote Sensing for Land & Resources, 2019, 31(2): 125-130.
[12] Jinxia LYU, Weiguo JIANG, Wenjie WANG, Yinghui LIU, Yue DENG, Xiaoya WANG. Wetland landscape evolution and its relation to human disturbance in Xiong’an New Area based on the moving window method[J]. Remote Sensing for Land & Resources, 2019, 31(2): 140-148.
[13] Xianhua YANG, Jie HUANG, Li TIAN, Bei PENG, Lixiao XIAO, Xinlong SONG. Application of mine remote sensing monitoring to analysis of mine goaf stability[J]. Remote Sensing for Land & Resources, 2018, 30(3): 143-150.
[14] Chungui ZHANG, Bingqing LIN. Application of FY-2E data to remote sensing monitoring of sea fog in Fujian coastal region[J]. Remote Sensing for Land & Resources, 2018, 30(1): 7-7.
[15] WEI Benzan, FU Lihua, FAN Fang, ZHANG Ce, JIE Wenhui, DONG Shuangfa. Remote sensing monitoring of wetlands dynamics in the Manas River basin from 1998 to 2015[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 90-94.
Full text



Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech