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高空间分辨率遥感影像融合方法探讨

iscussion of high spatial resolution remote sensing images fusion methods

中文摘要英文摘要

传统的融合方法在对低空间分辨率的全色和多光谱影像融合上起到了很好的效果,然而使用这些方法进行高空间分辨率影像融合的效果欠佳,其主要原因在于高辨率影像的全色波段范围发生了改变,其波段光谱响应已经从可见光波段扩展到近红外波段。针对高空间分辨率遥感影像特点,利用IHS变换、Brovey变换、PCA主成分变换、Gram_Schmidt变换以及Pansharp变换等五种融合方法对QuickBird影像进行了融合实验,并从目视效果、波谱剖面图以及定量分析三方面对融合后影像质量做出了科学的比较,结果表明Pansharp和Gram_Schmidt融合算法更适合高分辨遥感影像融合。

raditional fusion methods can obtain good results in combining panchromatic(PAN) and multispectral (MS) images of low spatial resolution. However, this methods can not perform well in high resolution images, as their panchromatic range have border form visible bands to near-infrared bands. This paper is contraposing the characteristics of high spatial resolution remote sensing images. The author did images fusion experiments using the methods of IHS, Brovey, PCA, Gram_Schmidt and Pansharp and made scientific comparisons of the visual effects, spectrum sections and quantitative analysis. The conclusion is that Pansharp and Gram_Schmidt algorithm are more suit for the fusion of high spatial resolution remote sensing satellites.

田丰、汪云甲

工程设计、工程测绘测绘学

遥感影像融合融合算法高空间分辨率QuickBird

remote sensing images fusionfusion algorithmhigh spatial resolutionQuickBird

田丰,汪云甲.高空间分辨率遥感影像融合方法探讨[EB/OL].(2011-07-28)[2025-07-23].http://www.paper.edu.cn/releasepaper/content/201107-421.点此复制

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