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A level set method for segmentation of high-resolution polarimetric SAR images using a heterogeneous clutter model

  • [设施]:遥感飞机
  • [期刊/会议名称]:Remote Sensing Letters
  • [摘要]:To overcome the problem of strong speckle and texture in high-resolution polarimetric synthetic aperture radar (PolSAR) images, a novel level set segmentation method that uses a heterogeneous clutter model is proposed in this article. Because the KummerU distribution has the capability to describe the statistics of PolSAR imagery in both homogeneous and heterogeneous scenes, it is used to replace the traditional Wishart distribution as the statistical model that defines the energy function for PolSAR images in order to improve the accuracy of the segmentation. Moreover, in order to reduce the computation intensity, an enhanced distance-regularized level set evolution (DRLSE-E) term is applied to improve the computational efficiency. The experimental results obtained using synthetic and real PolSAR images show that the method described has an accuracy 10% better than level set methods based on Wishart distributions. It is also shown that adding the DRLSE-E term reduces the computation time by about a third, thus demonstrating the effectiveness of our method.
  • [发表日期]:2015
  • [第一作者]:邹鹏飞
  • [第一作者单位]:中科院航空遥感中心
  • [通讯作者]:李震
  • [通讯作者单位]:中科院航空遥感中心
  • [论文类型]:SCI期刊
  • [期刊分类]:REMOTE SENSING(SCI3区)
  • [学科分类]:
  • [影响因子]:1.573
  • [关键词]:
  • [卷号]:7
  • [期号]:6
  • [起止页码]:548-557
  • [简介]: