Position: Home > Articles > Comparative Evaluation on Four Pixel-level Fusion Methods of Pleiades-1 High Resolution Image
Journal of West China Forestry Science
2014
(1)
34-39
Pleiades-1高分辨率影像像素级4种融合算法的综合评价研究
作 者：
任德智;周尧治;李江荣;钱登峰
单 位：
西藏大学
关键词：
Titan Image;Pleiades-1;影像融合;评价;算法;质量
摘 要：
基于Titan Image 8.0遥感图像处理软件平台,对法国和意大利联合研制的新一代极限性能高分辨小卫星Pleiades-1卫星影像(全色0.5 m+多光谱2.0 m)进行像素级4种融合算法融合效果的定性和定量评价,结果表明,对Pleiades-1高分辨率影像的4种融合算法融合中,pansharp算法融合效果最好,小波变换法融合算法次之,再次为HPF算法,PCA算法融合效果最差。
译 名：
Comparative Evaluation on Four Pixel-level Fusion Methods of Pleiades-1 High Resolution Image
作 者：
REN De-zhi;ZHOU Yao-zhi;LI Jiang-rong;QIAN Deng-feng;Institute of Tibet Plateau Ecology,Agricultural and Animal Husbandry College,Tibet University;Department of Resources and Environment,Agricultural and Animal Husbandry College,Tibet University;
关键词：
Titan Image;;Pleiades-1;;image fusion;;evaluation;;method;;quality
摘 要：
Based on Titan Image8. 0 remote image processing software,Pleiades-1( panchromatic 0. 5 m + multispectral 2m) high resolution satellite image produced by France and Italy was fused by using four pixel-level fusion methods. The fusion effect of four methods was evaluated quantitatively and qualitatively. The results showed that among four fusion methods,the pansharp method had the best fusion effect,the wavelet transformation method took the second place,the third one was the HPF method,and the PCA method had the worst result.
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