%0 Journal Article
%T SPIN-2 Panchromatic and SPOT-4 Multi-Spectral Image Fusion Based on Support Vector Machine<br>基于支持向量机的SPIN－2影像与SPOT－4多光谱影像融合研究
%A ZHAO Shu-he
%A FENG Xue-zhi
%A DU Jin-kang
%A LIN Guang-fa
%A <br>赵书河
%A 冯学智
%A 都金康
%A 林广发
%J 遥感学报
%D 2003
%I 
%X Remote Sensing image fusion is an effective way to use the large volume of data from multi-source images.This paper introduces a new method of remote sensing image fusion based on support vector machine (SVM), using high spatial resolution data SPIN-2 and multi-spectral remote sensing data SPOT-4.First the new method is established by building a model of remote sensing image fusion based on SVM.Then using SPIN-2 data and SPOT-4 data, to test image classification fusion.Finally, an evaluation of the fusion result is made in two ways: (1)From subjectivity assessment, the spatial resolution of the fused image is improved compared to the SPOT-4, and it is clearly that the texture of the fused image is distinctive; (2)From quantitative analysis, the effect of classification fusion is better.As a whole, the result shows that the accuracy of image fusion based on SVM is high and the SVM algorithm can be recommended for application in remote sensing image fusion processes.
%K image fusion
%K SVM
%K multi-spectral image
%K panchromatic image<br>向量机
%K SPOT-4多光谱影像
%K SPIN-2影像
%K 影像融合
%K 全色影像
%K SVM
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=64B050630365FBD3&yid=D43C4A19B2EE3C0A&vid=DF92D298D3FF1E6E&iid=94C357A881DFC066&sid=8CCD0401CC9AE432&eid=34D9E20AD82A0D72&journal_id=1007-4619&journal_name=遥感学报&referenced_num=11&reference_num=20