基于降斑各向异性扩散的SAR图像海岸线提取
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  • 英文篇名:Coastline Extraction from SAR Images Based on Speckle Reducing Anisotropic Diffusion
  • 作者:王岱良 ; 陶万成
  • 英文作者:WANG Dailiang;TAO Wancheng;School of Geomatics, Liaoning Technical University;
  • 关键词:SAR图像 ; 海岸线 ; 图像滤波 ; 阈值分割
  • 英文关键词:SAR image;;coastline;;image filtering;;threshold segmentation
  • 中文刊名:CHRK
  • 英文刊名:Geomatics World
  • 机构:辽宁工程技术大学测绘与地理科学学院;
  • 出版日期:2019-06-25
  • 出版单位:地理信息世界
  • 年:2019
  • 期:v.26;No.135
  • 基金:国家自然科学基金(41271435,41301479);; 辽宁省自然科学基金(2015020090);; 辽宁工程技术大学测绘与地理科学学院研究生优秀学位论文培育计划项目(YS201606)资助
  • 语种:中文;
  • 页:CHRK201903008
  • 页数:7
  • CN:03
  • ISSN:11-4969/P
  • 分类号:44-50
摘要
受SAR图像相干斑噪声的影响,传统基于阈值的SAR图像海岸线提取方法难以迅速、精确地提取结构复杂精细的海岸线。为此,提出一种结合降斑各向异性扩散和大津法的SAR图像海岸线提取方法。首先,利用降斑各向异性扩散方法对SAR图像进行滤波,使其在尽可能滤除掉相干斑噪声的同时保持精细边缘和纹理结构;然后,以类间方差最大为准则,自适应地确定阈值,实现滤波结果图像二值化分割。在分割结果中,利用连通域标定法标定图像域,去除误分割的连通域,得到准确的海陆分割结果,以实现精确的SAR图像海岸线提取。对具有不同特点的真实大尺度SAR图像的实验结果和定量评价结果表明本文方法可以高精度地提取出光滑、连续的海岸线,相较其它方法具有更强的实用性。
        Current threshold-based approaches could not quickly and precisely extract complex coastlines from SAR images due to speckle noises of SAR images. This paper proposes an approach of speckle reducing anisotropic diffusion to extract coastlines from SAR images. Firstly, the SAR image needs to be filtered using speckle reducing anisotropic diffusion. The speckle noises are filtered out as more as possible while maintaining tiny edges and texture structure of the image. After that, the threshold for segmentation is determined adaptively based on the rule of maximum inter-class variance, and the binary segmentation of the filtered image is achieved. The segmentation result is further processed by calibrating the image domain and removing false segmentation. Finally, accurate landsea segmentation is obtained. The approach has been applied to real large-scale SAR images with different properties.Results indicate that the proposed approach can precisely extract smooth and continuous coastlines and works better than other methods.
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