计算机工程与应用2011，Vol.47Issue(14)：196-199,213,5.DOI:10.3778/j.issn.1002-8331.2011.14.057
基于多尺度特征融合的SAR图像分割
SAR image segmentation based on multi-scale feature fusion
摘要
Abstract
SAR image segmentation is complicated due to the multiplicative nature of the speckle noise in SAR images.An SAR image segmentation method based on the multi-scale feature fusion is proposed in this paper. The fast discrete curvelet transform is applied to extract the image texture features,and the stationary wavelet transform is applied to extract the image statistical features. These two multi-scale features are fused to obtain a high dimensional feature vector. The fuzzy C-means clustering is used to segment the image. Experiments are carried out using typical noise-free image corrupted with simulated speckle noise as well as real SAR images,and the results show that the proposed method performs favorably in comparison to the methods based on the wavelet transform only. The proposed segmentation method can delete lots of small fragments in the homogeneous regions and obtain more accurate and smooth boundaries.关键词
合成孔径雷达(SAR)图像/curvelet变换/wavelet变换/图像分割Key words
Synthetic Aperture Radar(SAR) image/curvelet transform/wavelet transform/image segmentation分类
信息技术与安全科学引用本文复制引用
宁慧君,李映,胡杰..基于多尺度特征融合的SAR图像分割[J].计算机工程与应用,2011,47(14):196-199,213,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60873086) （the National Natural Science Foundation of China under Grant No.60873086）
西北工业大学基础研究基金(No.JC200942) （No.JC200942）
航天支撑技术资金资助. （）
