A thin cloud removal method from remote sensing image for water body identification

2013 ◽  
Vol 23 (4) ◽  
pp. 460-469 ◽  
Author(s):  
Wei Zheng ◽  
Jiali Shao ◽  
Meng Wang ◽  
Dapeng Huang
Keyword(s):  
Remote Sensing ◽  
Water Body ◽  
Remote Sensing Image ◽  
Removal Method ◽  
Thin Cloud ◽  
Cloud Removal ◽  
Thin Cloud Removal

An effective thin cloud removal procedure for visible remote sensing images

2014 ◽  
Vol 96 ◽  
pp. 224-235 ◽  
Author(s):  
Huanfeng Shen ◽  
Huifang Li ◽  
Yan Qian ◽  
Liangpei Zhang ◽  
Qiangqiang Yuan
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Images ◽  
Thin Cloud ◽  
Cloud Removal ◽  
Thin Cloud Removal

Thin Cloud Removal Approach for Yellow River Remote Sensing Onitoring

2012 ◽  
Vol 588-589 ◽  
pp. 2121-2124
Author(s):  
Lin Chen ◽  
Yi Fu Zhou ◽  
Hua Le Jia
Keyword(s):  
Remote Sensing ◽  
Cloud Cover ◽  
Yellow River ◽  
Work Flow ◽  
Band Ratio ◽  
Remote Sensing Monitoring ◽  
Imaging Model ◽  
Thin Cloud ◽  
Cloud Removal ◽  
Thin Cloud Removal

Cloud cover is one of the most common noises of remote sensing monitoring in Yellow River. How to remove or weaken the effect of thin cloud is one of the important tasks. Based on the imaging model and characteristics of thin cloud, some technologic methods to remove cloudy for remote sensing monitoring in Yellow River are introduced, such as the method of filtering in space domain, the method of filtering in frequency domain and the method of band ratio. This paper analyzed the characteristics, application method and work flow of those methods ,and evaluated the application effect of remote sensing monitoring using these methods in Yellow River.

Thin Cloud Removal Approach for Yellow River Remote Sensing Monitoring

2013 ◽  
Vol 631-632 ◽  
pp. 1348-1352
Author(s):  
Lin Chen ◽  
Yi Fu Zhou ◽  
Hao Lu Ma
Keyword(s):  
Remote Sensing ◽  
Yellow River ◽  
Remote Sensing Data ◽  
Work Flow ◽  
Band Ratio ◽  
Remote Sensing Monitoring ◽  
Imaging Model ◽  
Thin Cloud ◽  
Cloud Removal ◽  
Thin Cloud Removal

Cloud is one of the most common noises of remote sensing monitoring in Yellow River. It is one of the important tasks to remove or weaken the effect of thin cloud. Based on the imaging model and characteristics of thin cloud, some technologic methods to remove cloudy are introduced, such as the method of filtering in space domain, the method of filtering in frequency domain and the method of band ratio. This paper analyzed the characteristics, application method and work flow of those methods, and evaluated the application effect of remote sensing monitoring using these methods in Yellow River. Thin cloud removal method improves the using-efficiency of remote sensing data, and ensures the reliability of remote sensing results.

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