文章基本信息

标题：Multi-spectral Remote Sensing Image Retrieval Based on K-L Transformation
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作者：Tang Hongmei ; Wang Renli ; Jiang Tao 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：2009
卷号：XXXVIII-7/C4
页码：215-218
出版社：Copernicus Publications
摘要：Along with the rapid development of remote sensing technology, remote sensing images have been used in more and more fields. How to retrieval the images rapidly and effectively from the gigantic database consequentially becomes an important and challenging task. Considering the characteristic of multi-spectral or hyper-spectral remote sensing images, K-L transformation based image retrieval method is proposed in this paper. Instead of original multi-spectral image, an image retrieval can be carried out using the histogram of the first three principal component images,. If we use an annular histogram in the image retrieval process, the spatial information of the image is introduced at the same time, which makes the retrieval more effective
关键词：Multi-spectral Remote Sensing Image; Image Retrieval; Spectral Characteristics; K-L Transformation; Annular ; Histogram