Removal of Thin Clouds in Landsat-8 OLI Data with Independent Component Analysis

被引:39
|
作者
Shen, Yang [1 ]
Wang, Yong [1 ,2 ,3 ]
Lv, Haitao [1 ]
Qian, Jiang [1 ]
机构
[1] Univ Elect & Sci Technol China, Sch Resources & Environm, West Hitech Zone, Chengdu 611731, Peoples R China
[2] E Carolina Univ, Dept Geog Planning & Environm, Greenville, NC 27858 USA
[3] UESTC, Big Data Res Ctr, Inst Remote Sensing Big Data, West Hitech Zone, Chengdu 611731, Peoples R China
来源
REMOTE SENSING | 2015年 / 7卷 / 09期
基金
中国国家自然科学基金;
关键词
cloud removal; independent component analysis (ICA); Landsat-8 OLI data; SHADOW DETECTION; CIRRUS; IMAGES; BANDS; TRANSFORMATION; ALGORITHMS; TM;
D O I
10.3390/rs70911481
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An approach to remove clouds in Landsat-8 operational land imager (OLI) data was developed with independent component analysis (ICA). Within cloud-covered areas, histograms were derived to quantify changes of the reflectance values before and after the use of the algorithm. Referred to a cloud-free image, changes of histogram curves validated the algorithm. Scatterplots were generated and linear regression performed for the reflectance values of each band before and after the algorithm, and compared to those of the reference image. Band-by-band, results in cloud removal were acceptable. The algorithm had little effect on pixels in cloud-free areas after the analyses of histograms, scatterplots, and linear regression equations. Finally, the algorithm was applied to various land use and land cover types and cloud conditions, and to a full Landsat-8 scene yielding satisfactory results efficiently.
引用
收藏
页码:11481 / 11500
页数:20
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