A New Cloud Detection Algorithm for FY-2C Images Over China

Author

Li, Deren ; Dong, Xinyi ; Liu, Liangming ; Xiang, Daxiang

Author_Institution

Wuhan Univ., Wuhan

fYear

2008

fDate

23-24 Jan. 2008

Firstpage

289

Lastpage

292

Abstract

FY-2C is a geostationary orbiting meteorological satellite designed by China independently. Based on statistical and spectral analysis of FY-2C data, this paper proposed a new cloud detection index operating accurately and quickly in spite of the low spatial resolution few spectral information. The diversity and sensitivity of cloud for each of the 4 bands of FY-2C data is also analyzed in this paper. The infrared red band 1, band 3 is found to be most suitable for cloud detection due to their spectral sensitivity of cloud.

Keywords

atmospheric techniques; clouds; data analysis; geophysical signal processing; image processing; object detection; spectral analysis; statistical analysis; China; FY-2C data; FY-2C images; cloud detection algorithm; geostationary orbiting meteorological satellite; infrared red band; spatial resolution; spectral analysis; spectral information; spectral sensitivity; statistical analysis; Clouds; Data analysis; Detection algorithms; Entropy; Meteorology; Ocean temperature; Satellite broadcasting; Sea surface; Spatial resolution; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on

Conference_Location

Adelaide, SA

Print_ISBN

978-0-7695-3090-1

Type

conf

DOI

10.1109/WKDD.2008.61

Filename

4470396