[1] Harshvardhan U, Randall D A, Corsetti T G, et al. Earth radiation budget and cloudiness simulations with a general circulation model[J]. Journal of the Atmospheric Sciences, 1989, 46(13): 1922-1942.

[2] King M D, Platnick S, Menzel W P, et al. Spatial and temporal distribution of clouds observed by MODIS onboard the terra and aqua satellites[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(7): 3826-3852.

[3] Zhang X, Liu L Y, Chen X D, et al. A novel multitemporal cloud and cloud shadow detection method using the integrated cloud Z-scores model[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12(1): 123-134.

[4] Liu H, Du H, Zeng D, et al. Cloud detection using super pixel classification and semantic segmentation[J]. Journal of Computer Science and Technology, 2019, 34(3): 622-633.

[5] Yu CH, YuanY, Miao MJ, et al., RemoteSensing and Spatial InformationSciences, 2013, XL-2/W1: 173- 177.

[6] 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.

[7] Rossow W B, Schiffer R A. ISCCP cloud data products[J]. Bulletin of the American Meteorological Society, 1991, 72(1): 2-20.

[8] Rossow W B, Schiffer R A. Advances in understanding clouds from ISCCP[J]. Bulletin of the American Meteorological Society, 1999, 80(11): 2261-2287.

[9] Saunders R W, Kriebel K T. An improved method for detecting clear sky and cloudy radiances from AVHRR data[J]. International Journal of Remote Sensing, 1988, 9(1): 123-150.

[10] Kriebel K T, Gesell G, Kästner M, et al. The cloud analysis tool APOLLO: improvements and validations[J]. International Journal of Remote Sensing, 2003, 24(12): 2389-2408.

[11] Lovell J L, Graetz R D. Filtering pathfinder AVHRR land NDVI data for Australia[J]. International Journal of Remote Sensing, 2001, 22(13): 2649-2654.

[12] Stowe L L, Davis P A. McClain E P. Scientific basis and initial evaluation of the CLAVR-1 global clear/cloud classification algorithm for the advanced very high resolution radiometer[J]. Journal of Atmospheric and Oceanic Technology, 1999, 16(6): 656-681.

[13] Sun L, Wei J, Wang J, et al. A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database[J]. Journal of Geophysical Research: Atmospheres, 2016, 121(12): 7172-7196.

[14] SunL, Zhou XY, Wang RL, et al.A comparison of the cloud detection results between the UDTCDA mask and MOD35 cloud products[C]//2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). July 23-28, 2017, Fort Worth, TX, USA.New York: IEEE Press, 2017: 25- 28.

[15] 迟雨蕾, 孙林, 韦晶. Suomi-NPP卫星可见光红外成像辐射仪的改进动态阈值云检测算法[J]. 光学学报, 2019, 39(5): 0528005.

    Chi Y L, Sun L, Wei J. Improved dynamic threshold cloud detection algorithm for Suomi-NPP visible infrared imaging radiometer[J]. Acta Optica Sinica, 2019, 39(5): 0528005.

[16] 王权, 孙林, 韦晶, 等. 动态阈值云检测算法改进及在高分辨率卫星上的应用[J]. 光学学报, 2018, 38(10): 1028002.

    Wang Q, Sun L, Wei J, et al. Improvement of universal dynamic threshold cloud detection algorithm and its application in high resolution satellite[J]. Acta Optica Sinica, 2018, 38(10): 1028002.

[17] Sun L, Zhou X Y, Wei J, et al. A new cloud detection method supported by GlobeLand30 data set[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(10): 3628-3645.

[18] Gong P, Liu H, Zhang M N, et al. Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017[J]. Science Bulletin, 2019, 64(6): 370-373.

[19] Gong P, Wang J, Yu L, et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data[J]. International Journal of Remote Sensing, 2013, 34(7): 2607-2654.

[20] Sun L, Mi X T, Wei J, et al. A cloud detection algorithm-generating method for remote sensing data at visible to short-wave infrared wavelengths[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 124: 70-88.

[21] Clark RN, Swayze GA, Wise RA, et al. USGS digital spectral library splib06a[R]. [S.l.]:US Geological Survey, 2007.

[22] Boardman JW, Kruse FA, Green RO. Mapping target signatures via partial unmixing of AVIRIS data[C]//Summaries of JPL Airborne Earth Science Workshop. [S.l.:s.n.], 1995: 23- 26.

[23] Plaza A, Martinez P, Perez R, et al. A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles[J]. Pattern Recognition, 2004, 37(6): 1097-1116.

[24] Miao L D, Qi H R, Szu H. A maximum entropy approach to unsupervised mixed-pixel decomposition[J]. IEEE Transactions on Image Processing, 2007, 16(4): 1008-1021.

[25] Ishida H, Nakajima T Y. Development of an unbiased cloud detection algorithm for a spaceborne multispectral imager[J]. Journal of Geophysical Research: Atmospheres, 2009, 114(D7): D07206.

[26] Chen P Y, Srinivasan R, Fedosejevs G, et al. An automated cloud detection method for daily NOAA-14 AVHRR data for Texas, USA[J]. International Journal of Remote Sensing, 2002, 23(15): 2939-2950.

[27] Zhu Z, Woodcock C E. Object-based cloud and cloud shadow detection in Landsat imagery[J]. Remote Sensing of Environment, 2012, 118: 83-94.

[28] 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.

[29] Qiu S, Zhu Z, Qiu S, He B, et al. Fmask 4.0: cloud and cloud shadow detection in Landsats 4-8 and Sentinel-2[J]. Remote Sensing of Environment, 2019, 231(15): 111205.

[30] 刘心燕, 孙林, 杨以坤, 等. 高分四号卫星数据云和云阴影检测算法[J]. 光学学报, 2019, 39(1): 0128001.

    Liu X Y, Sun L, Yang Y K, et al. Cloud and cloud shadow detection algorithm for Gaofen-4 satellite data[J]. Acta Optica Sinica, 2019, 39(1): 0128001.