An Iterative Segmentation Algorithm of SAR Image Based On Support Vector Machine

摘要：

In this paper,an iterative algorithm,which is based on support vector machine (SVM),is proposed for synthetic aperture radar (SAR) image segmentation. The proposed method considers the SAR image segmentation as the pixel classification. The pixels of the previous segmented image are regarded as the training samples for SVM,which is used to re-segment the image. These iterations are repeated until the convergence,which is determined by checking the relative change of the entropy between two consecutive segmented images.Experimental results show that compared with,the proposed algorithm can achieve much better segmented results than the Markov random field (MRF) algorithm,and the proposed method dramatically reduces the influence of initial segmentation on the final result.

关键词： image segmentation automatic target recognition support vector machine synthetic aperture radar

作者: Han Ping Zhang Rui Su Zhi-gang Wu Ren-biao

作者单位: Tianjin Key Laboratory of Advanced Signal Processing,Civil Aviation University of China,Tianjin 300300,P.R.China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 676-679

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）