基于多源遥感数据的融合算法变换效果对比研究  

COMPARATIVE STUDY ON THE TRANSFORMATION EFFECTS OF FUSION ALGORITHM BASED ON MULTISOURCE REMOTE SENSING DATA

作　　者：杨佳佳[1] 冯雨林[1] 孙中任[1] 高铁[1] 

机构地区：[1]中国地质调查局沈阳地质调查中心(沈阳地质矿产研究所),辽宁沈阳110034

出　　处：《地质与资源》2015年第5期489-495,共7页Geology and Resources

基　　金：中国地质调查局"东北边境地区基础地质遥感调查"项目(编号12120115063001)

摘　　要：随着多源遥感影像融合技术的成熟发展,如何提高高分辨率遥感数据的利用效益和使用质量已经成为影响其应用效果的瓶颈问题.针对Qucik Bird-2高分遥感数据光谱分辨率不足等问题,结合ASTER多光谱遥感数据,引入3种融合方法:主成分分析(PCA)融合、小波PCA融合和基于小波的IHS(色度、亮度、饱和度变换)融合,实现了对多光谱图像和高分辨率图像的融合,得到了多光谱高分辨率影像,使得在增强影像空间分辨率的同时也尽可能地保留了影像的多光谱信息.最后对3种融合方法的结果进行了定性和定量评价.With the mature development of multisource remote sensing image fusion technology, how to improve theefficiency and quality of high resolution remote sensing data has become a bottleneck problem for its application effect.Aiming at the problem of low spectral resolution of QucikBird-2 high resolution remote sensing data, combining withASTER multispectral remote sensing data, three fusion methods, namely PCA fusion, wavelet PCA fusion and IHS fusionbased on wavelet are introduced to realize the fusion of muhispectral and high resolution images and obtain multispectralhigh resolution imagery, which enhances the spatial resolution of image and at the same time retains the muhispeetralinformation as much as possible. Finally, qualitative and quantitative evaluation is conducted on the results of three fusionmethods.

关 键 词：遥感 高分辨率 融合 图像增强 

分 类 号：P627[天文地球—地质矿产勘探]