中国科学院研究生院学报2009，Vol.26Issue(6)：841-845,5.
基于极化干涉互相关矩阵的林高估计方法
Forest height estimation method using cross-variance matrix of polarimetric interferometric SAR data
摘要
Abstract
Using the cross-variance matrix of polarimetric interferometric SAR data which suffers less from noises, we proposed a new forest height estimation method. The method uses the singular decomposition of cross-variance matrix, instead of the eigen decomposition of coherence matrix in ESPRIT method, to obtain the interferometric phases of forest scattering centers. Then, forest heights are estimated from their interferometric phase differences. The proposed method not only suppresses the noise effects on the estimations for forest scattering centers, but also improves the computation efficiency. The L-band simulated polarimetric interferometric SAR data for the pine forest support the proposed method.关键词
极化干涉合成孔径雷达/互相关矩阵/林高估计/散射中心Key words
polarimetric interferometric synthetic aperture radar/ cross-variance matrix/ forest height estimation/ scattering center分类
信息技术与安全科学引用本文复制引用
白璐,曹芳,洪文..基于极化干涉互相关矩阵的林高估计方法[J].中国科学院研究生院学报,2009,26(6):841-845,5.基金项目
国家自然科学基金项目(60890071-04)、科技部中加合作项目(2008DFA1690)和中国科学院知识创新工程青年人才领域前沿项目(1155)资助 （60890071-04）
