MULTI—SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

编号 zgly0000282709

文献类型 期刊论文

文献题名 MULTI—SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

作者 ZHAOShu-he  FENGXue-zhi 

作者单位 DepartmentofUrban＆ResourcesSciences  NanjingUniversity  Nanjing210093  P.R.China 

母体文献 Chinese Geographical Science;中国地理科学: 英文版 

年卷期 2002,12(3)

页码 244-248

年份 2002 

分类号 TP751.1 

关键词 图像融合  多元谱图像  遥感 

文摘内容 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.Firstly,the new method is established by building a model of remote sensing image fusion based on SVM.Then by using SPIN-2 data and SPOT-4 data ,image classify-cation fusion in tested.Finally,and 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 re-sult shows that the accuracy of image fusion based on SVM is high and the SVM algorithm can be recommended for applica-tion in remote sensing image fusion processes。