Thin Cloud Removal Approach for Yellow River Remote Sensing Monitoring

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 631-632)
• Pages: 1348-1352
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.631-632.1348
• Online since: January 2013
• Authors: Lin Chen, Yi Fu Zhou, Hao Lu Ma
• Keywords: Remote Sensing, Removing Thin Cloud, Yellow River

References

[1] He Hui, Peng Wang, Kuang Jinyu. Thin cloud cover removed from high-resolution remote sensing images based on the adaptive filtering and gray-scale transformation. Journal of Geo-information science. 2009, 11(3): 205～311.

DOI: 10.3724/sp.j.1047.2009.00305

[2] Li Xiaochun, Wang Yong, Chen Jing. Detection and removal of clouds and their shadows from multi-spectral image. Journal of astronautics. 2004, 25(5): 555～559.

[3] Xie HM, HE QX, Zheng N, et al. 2005. The improved homomorphic filter algorithm for removing cloud of remote sensing image based on the second exploiture of erdas tool. Journal of beijing normal university (natural science), 41(2): 150-153.

[4] Zhao ZM, Zhu CG. 1996. Research on the Cloud Removal Method of Remote Sensing Images. Environmental Remote Sensing, 11(3): 195-199.

[5] Zhang XS, Huang ZC, Zhao YH. 1997. Remote sensing image processing. Hangzhou. Zhejiang University Press.