利用DT-GrowCut的MSTAR SAR图像自动分割技术

doi:10.3969/j.issn.1001-2400.2011.03.024

Abstract

Abstract:

A novel automated robust segmentation algorithm based on Delaunay triangulation and GrowCut is proposed. The core idea is to apply the theory of Delaunay triangulation to the MSTAR image just for the seeds initialization of GrowCut. The DT-GrowCut based algorithm can give rough segmentation between the target, shadow and background. Several sets of SAR images from MSTAR datasets are segmented by the proposed method. Experimental results demonstrate that the proposed method outperforms the traditional FCM based method in despeckling, extracting the edge and reducing the edge fuzzy degree. The results of experiments with different SAR images demonstrate the efficiency of the presented algorithm.

Key words: synthetic aperture radar image segmentation, Delaunay tringulation, GrowCut, moving and stationary targets acquisition and recognition

CLC Number:

TN951

CUI Yanpeng；HU Jianwei；YANG Shaoquan；ZHU Yan. SAR image automatic segmentation based on DT-GrowCut[J].J4, 2011, 38(3): 150-154.

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SAR image automatic segmentation based on DT-GrowCut

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