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

Remote Sensing

Yang Shen²  Yong Wang²  Haitao Lv²  Jiang Qian²  Alexander A. Kokhanovsky¹ 

[1] School of Resources and Environment, University of Electronic and Science Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China;;School of Resources and Environment, University of Electronic and Science Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi-tech Zone, Chengdu 611731, China; E-Mails:

关键词: cloud removal;    independent component analysis (ICA);    Landsat-8 OLI data;   

DOI  :  10.3390/rs70911481

来源: mdpi

【 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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.