Adaptive river segmentation in SAR images

Lili Zhang, Yanning Zhang, Min Wang, Ying Li

科研成果: 期刊稿件文章同行评审

17 引用 (Scopus)

摘要

There is difficulty for distinguishing of river and shadow in Synthetic Aperture Radar (SAR) images. A method of river segmentation in SAR images based on wavelet energy and gradient is proposed in this paper. It mainly includes two algorithms: coarse segmentation and refined segmentation. Firstly, The river regions are coarsely segmented by the wavelet energy feature, and then refined segmented accurately by the gradient threshold which is got adaptively. The experimental results show the validity of the method, which provides a good foundation for targets detection above the river.

源语言英语
页(从-至)438-442
页数5
期刊Journal of Electronics
26
4
DOI
出版状态已出版 - 9月 2009

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