摘要
合成孔径雷达图像对于地表淹没状况的探测有一定的优势。以鄱阳湖湿地为例,基于多极化Envisat ASAR数据,将变化向量分析方法引入地表淹没状况的变化检测中,分析鄱阳湖湿地地表淹没状况的动态变化,然后利用决策树分类方法将变化区域提取出来,并探讨变化向量方法应用于SAR图像变化监测的潜力。
It has some advantages to detect the inundation extent using Synthetic Aperture Radar （SAR） images. In this paper,Change Vector Analysis （CVA） is a valuable approach for the surface inundation extent. As a result from the case study in Poyang Lake wetland, the multipolarized Envisat ASAR data is used to detect the inundation extent,and the change areas were extracted using the classification method of decision tree. Finally,the potential utility in Change Vector Analysis for change detection of SAR images was discussed.
出处
《遥感技术与应用》
CSCD
2008年第4期373-377,I0003,共6页
Remote Sensing Technology and Application
基金
中国科学院知识创新工程重要方向项目(编号:KZCX3-SW-338-3)资助
