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《Journal of Beijing Union University(Natural Sciences)》 2015-01
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Multi-source Remote Sensing Image Fusion Research Based on the China-Brazil Resource Satellite

GU Shuai-bing;HE Xiao-hui;GUO Heng-liang;Beijing key laboratory of Resource Environment and Geographic Information System,Key Laboratory of 3-Dimensional Information Acquisition and Application,Ministry of Education,Capital Normal University;College of Water Conservancy and Environment Engineering,Zhengzhou University;  
With the growing of remote sensing data access methods,remote sensing image fusion technology has been concerned. The image of CBERS 2 has abundant information and low resolution,but the panchromatic image has high resolution and rich texture information. Taking the CBERS 2 multi-spectral image and panchromatic image of Zhengzhou City,Henan Province,as example,fusion experiments were carried out using four kinds of fusion methods including principal component analysis(PCA), wavelet transform(WPC), the brovey transformation(Brovey) and high-pass filtering(HPF) method. Comparison of the fusion image was made in the mean,the standard deviation,the deviation index,and the spectral fidelity,and the multi-spectral image and panchromatic image fusion method and effect of CBERS 2 was studied.
【Fund】: 河南省基础研究计划项目(142300410064);; 河南省科技攻关计划项目(142102310308)
【CateGory Index】: TP751
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