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)
