%0 Journal Article
%T A New RS Image Fusion Method Based on Feature<br>一种基于特征的遥感影像融合新方法
%A WANG Wen-jun
%A QIN Qi-ming
%A CHEN Si-jin
%A FU Wei
%A <br>王文君
%A 秦其明
%A 陈思锦
%A 付　炜
%J 遥感技术与应用
%D 2004
%I 
%X The image feature fusion is a kind of data fusion that is based on spectral structure and texturefeature of the objects. This paper proposed feature fusion after enhancing image edge with wavelet’smulti-resolution analysis to largely improve image' s definition and resolving power. In the fusion process,instead of using the conventional HIS-Wavelet fusion, directly introduced RGB-Wavelet transformationwhich decomposed RGB bands of the multi-spectral image and high-resolution image by waveletseparately, then used low frequent parts of the R, G, B bands and high frequent parts of the high-resolution image to do the image fusion, finally had new R, G, B bands as the new fusion image. In theway, not only improved definition and resolution of the multi-spectral image, but also retained the colorfeature of multi-spectral image which was important for multi-spectral fusion. At last validated theconclusion with an experiment. This method was based on wavelet multi-resolution analysis and RGB colorspace, so it didn' t generate any compute error of color space transform. Compared the fusion results of RGB-wavelet and HIS-wavelet methods, it could find that not only precision of visual estimation but alsoguide lines of quantitative analysis such as definition, space resolution had greater improvement.
%K Wavelet setzz
%K Feature fusionzz
%K Edge enhancementzz<br>小波变换
%K 特征融合
%K 边缘增强
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=6F56B81324C1B239DA82AE08A4344F0C&aid=7A170691F52035B4B4541DEBCEDF43A9&yid=D0E58B75BFD8E51C&vid=2A8D03AD8076A2E3&iid=38B194292C032A66&sid=B799C1769FCACDC8&eid=4D7D059FFBF006B9&journal_id=1004-0323&journal_name=遥感技术与应用&referenced_num=0&reference_num=0