Unsupervised hyperspectral image classification algorithm by integrating spatial-spectral information

Belkacem Baassou, Mingyi He, Shaohui Mei, Yifan Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

An integrated spatial-spectral information algorithm for hyper spectral image classification is proposed, which uses spatial pixel association (SPA)by exploiting spectral information divergence (SID), and spectral clustering to reduce regions number and improve classification accuracy. Moreover, a class boundary correction method is also developed to minimize the misclassified pixels at the edge of each class and to solve the problem of merged classes. Experiments with hyper spectral data demonstrate the effectiveness and advantages of the proposed frame work over some traditional methods in term of classification accuracy.

源语言英语
主期刊名ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings
610-615
页数6
DOI
出版状态已出版 - 2012
活动2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012 - Shanghai, 中国
期限: 16 7月 201218 7月 2012

出版系列

姓名ICALIP 2012 - 2012 International Conference on Audio, Language and Image Processing, Proceedings

会议

会议2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012
国家/地区中国
Shanghai
时期16/07/1218/07/12

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