摘要
全极化雷达影像信息最佳描述方法是可以针对应用选择的影像目标分解分量的表示。Freeman-Durden分解方法是在植被存在的情况下提出的,适合于这个环境下含水量信息的提取,也可以应对雷达影像提取土壤含水量信息时常见的植被带来的干扰。首次尝试使用这种分解方法定量提取土壤含水量信息,并通过RADARSAT-2卫星的武汉地区数据和实地测量分析提出了Freeman-Durden分解中的偶数次散射分量数值和含水量之间的经验模型,并用实验证明了其有效性。对这种提取含水量信息的方法和进一步的研究进行了分析和展望。
Information in quad-polarization SAR images can be best described by components of target decomposition results. Freeman-Durden decomposition is based on model of ground when vegetation represents,thus it is capable for soil water content information extraction.It can also solve problems always happened when employing radar remote sensing images for such applications caused by vegetation.A first try of using Freeman-Durden decomposition to extract water content information in amount is presented, and an experience model connecting the double bounce component of Freeman-Durden decomposition and water content value is proposed based on analysis of experiments from RADARSAT-2 quad-polarization SAR images.This model is verified by experiments.The model and its possible further developments are discussed.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第27期17-19,24,共4页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)No.2009AA12Z141~~
