Inversion of vegetation height from Pol In SAR using complex least squares adjustment method  

作　　者：FU HaiQiang WANG ChangCheng ZHU JianJun XIE QingHua ZHAO Rong 

机构地区：[1]School of Geosciences and Info-physics, Central South University

出　　处：《Science China Earth Sciences》2015年第6期1018-1031,共14页中国科学（地球科学英文版）

基　　金：supported by the National Basic Research Program of China(Grant No.2013CB733303);National Natural Science Foundation of China(Grant Nos.41274010,41371335);supported by PA-SB ESA EO Project Campaign of"Development of methods for Forest Biophysical Parameters Inversion Using POLIn SAR Data"(Grant No.ID.14655)

摘　　要：In this paper, we propose the novel method of complex least squares adjustment （CLSA） to invert vegetation height accurately using single-baseline polarimetric synthetic aperture radar interferometry （PollnSAR） data. CLSA basically estimates both volume-only coherence and ground phase directly without assuming that the ground-to-volume amplitude radio of a particular polarization channel （e.g., HV） is less than -10 dB, as in the three-stage method. In addition, CLSA can effectively limit errors in interferometric complex coherence, which may translate directly into erroneous ground-phase and volume-only coherence estimations. The proposed CLSA method is validated with BioSAR2008 P-band E-SAR and L-band SIR-C PollnSAR data. Its results are then compared with those of the traditional three-stage method and with external data. It implies that the CLSA method is much more robust than the three-stage method.In this paper, we propose the novel method of complex least squares adjustment(CLSA) to invert vegetation height accurately using single-baseline polarimetric synthetic aperture radar interferometry(Pol In SAR) data. CLSA basically estimates both volume-only coherence and ground phase directly without assuming that the ground-to-volume amplitude radio of a particular polarization channel(e.g., HV) is less than ?10 d B, as in the three-stage method. In addition, CLSA can effectively limit errors in interferometric complex coherence, which may translate directly into erroneous ground-phase and volume-only coherence estimations. The proposed CLSA method is validated with Bio SAR2008 P-band E-SAR and L-band SIR-C Pol In SAR data. Its results are then compared with those of the traditional three-stage method and with external data. It implies that the CLSA method is much more robust than the three-stage method.

关 键 词：polarimetric SAR interferometry （PolInSAR） complex least squares adjustment random volume over ground （RVoG） vegetation height inversion truncated singular value decomposition （T-SVD） 

分 类 号：Q948[生物学—植物学]