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Application of Principal Component Extraction Technique in Processing Cloud Images
WANG Zhenhui 1 *,Pei Xiaofang 2,Guan Li 3,Xu Jianming 3
1.1Key Lab of Meteorology & Environment of Jiangsu Province( in Nanjing University of Information Science & Technology) , Nanjing 210044, PRC
2.College of Electronic & Information Engineering, NUIST
3.School of Remote Sensing,NUIST
*Correspondence author
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Funding: 国家自然科学基金(No.40475018)
Opened online:24 January 2008
Accepted by: none
Citation: WANG Zhenhui,Pei Xiaofang,Guan Li.Application of Principal Component Extraction Technique in Processing Cloud Images[OL]. [24 January 2008] http://en.paper.edu.cn/en_releasepaper/content/18350
 
 
Principal Component Extraction technique is employed to process cloud images from 10-channel radiometer onboard the Chinese FY-1 polar-orbiting meteorological satellites. The results suggest that the consensus technique can concentrate the prominent distribution features of the grey shades of the targets, including clouds, landform and oceans shown on the 10 channel images onto a single image, which can be used as a background image in further synoptic system analysis and weather map overlapping.
Keywords:FY-1, image processing, Principal Component
 
 
 

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