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Erschienen in:
2015 | OriginalPaper | Buchkapitel
24. Similarity Factor Based on Coherence in PolSAR Change Detection
verfasst von : Yulin Huang, Yangchi Liu, Junjie Wu, Jianyu Yang
Erschienen in: The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems
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Abstract
This paper presents a new change detection method based on coherence characteristics between channels in Polarimetric Synthetic Aperture Radar (PolSAR) images to change detection. It aims at solving the problem that information sources of change detection measure are limited to image intensity information usually in PolSAR change detection. In this method, by using channel coherence information extracted from polarimetric covariance matrix, and relying on the entropy character, we obtain the similarity factor of improved information sources to change detection. Finally, set a threshold to distinguish the changed targets. Simulations and experiments are carried out to assess and evaluate the performance of the proposed method. A comparison between the proposed and the other well-known change detection methods is shown, which indicates that the proposed method performs well in change detection.