%0 Journal Article
%T Fusing MODIS and SPOT Images Based on Self-adaptive Weighting<br>基于自适应加权的MODIS和SPOT影像融合研究
%A CHEN Shao-hui
%A ZHANG Qiu-wen
%A WANG Cheng
%A ZHOU Jian-zhong
%A <br>陈少辉
%A 张秋文
%A 王乘
%A 周建中
%J 中国图象图形学报
%D 2006
%I 
%X In this paper,a fusion algorithm for enhancing the spatial resolution of MODIS images is proposed,based on the joint use of IHS representation and orthogonal wavelet decomposition(OWD).The basic idea consists of following steps represent the MODIS images in the IHS space,substitute the I with the high resolution intensity component obtained from the fusion with the approximate component of the SPOT image through an intensity correlation comment model based on the self-adaptively weighting(SCMM).Finally,three high-resolution MODIS images are achieved through an inverse OWD by using the three modulated MODIS images obtained by an inverse IHS transform as the approximate component and the details of the SPOT image as the high frequencies.Experiments confirm that the proposed algorithm can achieve better performance in terms of both preserving the spectral information and improving the spatial resolution of MODIS images visually and statistically.
%K orthogonal wavelet decomposition(OWD)
%K intensity correlation moment
%K image fusion
%K moderate resolution imageing spectroradiometer(MODIS)
%K SPOT<br>小波分解
%K 亮度相关矩
%K 影像融合
%K 中分辨率成像光谱仪
%K 斯波特卫星
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=93970DFF99F489EF&yid=37904DC365DD7266&vid=708DD6B15D2464E8&iid=38B194292C032A66&sid=31125890FF093250&eid=EA64BD0B2FF6E786&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=2&reference_num=5