文章基本信息

标题：An Efficient Change Detection Model for Hyper Spectral Images Using Hierarchical Clustering Algorithm
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作者：Prof. K.Jeyalakshmi ; P.Sathyasri
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309043
出版社：S&S Publications
摘要：When dealing with Multi-temporal Hyper spectral (HS) Images change detection (CD) problems; pixelsdifference about the nature of the changes is often unavailable. Thus, when multi-temporal images are considered, theyallow us to detect many possible differences in HS images. This paper proposed a robustness of the Hierarchicalclustering based Change detection method will be tested on the available multi-temporal HS images showingdifferences in illumination conditions and no real change. The proposed method to derive the Change detection intotwo ways: 1) the spatial information in order to boost the robustness and the accuracy of the CD results, 2) define areliable automatic technique for the detection of the aforementioned threshold. Experimental results obtained onsynthetic and real multi-temporal HS images demonstrate the effectiveness of the proposed CD method.
关键词：Change detection (CD); hierarchical clustering; hyperspectral (HS) images; multiple changes; multitemporal;analysis; remote sensing