文章基本信息

标题：A NEW APPROACH TOWARD OBJECT-BASED CHANGE DETECTION
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作者：Guo Zhang ; Yang Li
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-4/W10
出版社：Copernicus Publications
摘要：Object-based change detection has been the hotspot in remote sensing image processing. Mean shift procedure, a non-parametric feature space analysis technique, is elaborated and used to segment images. A change detection approach is proposed, which is based on the integration of objects' intensity and texture differences. Experiments are conducted on both panchromatic images and multi-spectral images and the results show that the integrated measure is robust with respect to illumination changes and noise. A complementary color detection is conducted to determine whether the color of the unchanged objects changes or not when it comes to multi-spectral images
关键词：change detection; object-based; segmentation; mean shift; intensity; texture; integration