双基线极化干涉SAR数据估计林高的方法  

Forest height estimation method using dual-baseline polarimetric interferometric SAR data

作　　者：白璐[1,2] 洪文[1] 曹芳[1] 

机构地区：[1]中国科学院电子学研究所微波成像技术国家级重点实验室,北京100190 [2]中国科学院研究生院,北京100039

出　　处：《电子测量技术》2009年第6期98-101,共4页Electronic Measurement Technology

基　　金：国家自然科学基金项目资助(60890074-02);中国科学院知识创新工程青年人才领域前沿项目(1155)资助

摘　　要：虽然ESPRIT方法可从单基线极化干涉SAR数据中区分森林冠层、地面对应的散射中心,但它未能提供散射中心间的绝对干涉相位差,造成林高估计精度下降。针对上述问题,本文提出一种基于双基线极化干涉SAR数据的林高估计方法。基于绝对相位差与基线的联系,双基线方法通过最小化代价函数获得绝对干涉相位差有效估计,从而改善了林高估计性能。L波段ESAR数据结果表明,双基线林高估计方法优于单基线ESPRIT方法。Although ESPRIT algorithm can obtain the scattering centers related to the canopy and underlying ground from. single-baseline polarimetric interferometric SAR data, it can not estimate their absolute interferometric phase difference. Subsequently, the estimation accuracy of forest height is decreased. To deal with the challenge, a forest height estimation method using dual-baseline data is proposed. Based on their dependency on baseline, the absolute interferometric phase differences are estimated via minimizing a cost function. Thus, reliable forest height results are obtained. Experiment results on L band ESAR data demonstrates that the proposed method gives better forest height estimations than the ESPRIT algorithm.

关 键 词：极化干涉合成孔径雷达 ESPRIT方法 相干最优 森林高度估计 

分 类 号：TN957[电子电信—信号与信息处理]