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基于GLCM的SAR溢油纹理特征分析 被引量:8

SAR feature analysis of oil spill based on GLCM
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摘要 溢油对海洋生态环境造成巨大的危害,溢油遥感监测已成为海洋遥感监测的主要内容,但由于在SAR图像上溢油的表现和其它海洋现象类似,难以区分油膜与类油膜,给遥感监测带来困难。本文以Envisat-ASAR为数据源,选择南海为例,采用GLCM方法对溢油的SAR纹理进行分析,计算海水与溢油的GLCM特征值,结果表明:采用变化、均值等特征对溢油的SAR纹理有很好的表现,从而为溢油信息的提取提供基础。 Using SAR to monitor oil spill is a useful method. Due to the performance of oil spill on SAR images, is similar with other oceanic phenomenon, it is difficult to distinguish between oil spill and "looks-like". In this paper, we selected the South China Sea as a sample using Envisat-ASAR and developed a method that using GLCM to analysis SAR texture of oil spill, then calculated eigenvalue of oil spill and sea water. The results showed that: the changes in the mean characteristics of the SAR for oil spill texture had a good performance, so as to provide the basis for the extraction of oil spill information.
出处 《海洋通报》 CAS CSCD 北大核心 2010年第4期455-458,共4页 Marine Science Bulletin
基金 海洋公益项目 溢油遥感监测信息自动提取技术研究及其业务化应用示范(200705018) 溢油应急预报业务系统研制(2006BAC03B04-01) 908-03数字海洋卫星中心节点建设 国家海洋局青年基金(2008427)
关键词 GLCM SAR 纹理分析 GLCM SAR Feature analysis
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参考文献6

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二级参考文献33

  • 1侯四国,张红,王超,刘智.一种新的SAR图像船只检测方法[J].遥感学报,2005,9(1):50-56. 被引量:11
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