文章基本信息

标题：Research on False Color Image Composite and Enhancement Methods Based on Ratio Images
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作者：Liang Jun ; Chen Songwei ; Li Duanyou 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B7
页码：1151-1154
出版社：Copernicus Publications
摘要：By referencing rock spectrum reflection curves, the effective bands of remote sensing images are selected which are treated with ratio processing in this paper. False color composition is proceeded by two ratio images and a single band. After this, the single band restored the terrain detail information which is lost in the other two ratio images. Then sliding window method is used to analysis the distribution of texture. A series of characteristic matrix are generating by computing the characteristic value of different scales of the windows which including the texture statistical information of remote sensing images. In this paper OIF(The Optimum Index Factor) method is adopted to proceed the objective evaluation which can find the optimal scale of sliding windows and to proceed the false color composite with ratio characteristic matrixes. The size of optimal sliding windows is found by multiple tests on contrasting image and referencing ground resolution of remote sensing images
关键词：Remote Sensing image; Ratio Image; False Color Image Composite Method; Texture Analysis; Sliding Window ; Method ; the Optimal Scale ;OIF method