Automatic segmentation for synthetic aperture radar images

Ying Li, Qin Feng Shi, Yan Ning Zhang, Rong Chun Zhao

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

The multiplicative nature of the speckle noise in SAR images is a big problem in SAR image segmentation. A novel method for automatic segmentation of SAR images is proposed. The wavelet energy is used to extract texture features, the regional statistics is used to extract gray-level features and the edge preserving mean of gray-level features is used to ensure the accuracy of classification of pixels near to the edge. Three representative kinds of features of SAR image are extracted, so the segmentation performance is enhanced. Besides, an improved unsupervised clustering algorithm is proposed for image segmentation, which can determine the number of classes automatically. Segmentation results on real SAR image demonstrate the effectiveness of the proposed method.

源语言英语
页(从-至)932-935
页数4
期刊Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
28
5
出版状态已出版 - 5月 2006

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