Polarimetric SAR Interferometry Vegetation Height Inversion Method of Complex Least Squares Adjustment

doi:10.13485/j.cnki.11-2089.2014.0170

Abstract

Abstract:

A PolInSAR vegetation height inversion method of complex least squares adjustment (CLSA) is proposed. Considering the temporal decorrelation, the RVoG is extended into RVoG+VTD. And then, the issue of resolving model is summarized as combined adjustment of complex real and imagine. The linearization method and parameter retrieval method are also given. At last, the robust volume-only coherence is used to compute the vegetation height. The CLSA method is validated on 2 E-SAR L band data of Oberpfaffenhofen, Germany and compared with the results of nonlinear iteration and three-stage methods. It demonstrates that the result of CLSA method is more accurate. The computational efficiency of CLSA method is higher than that of nonlinear iteration method and slightly lower than three-stage method.

Key words: polarimetric SAR interferometry(PolInSAR), vegetation height inversion, complex least squares adjustment, temporal decorrelation

CLC Number:

FU Haiqiang ZHU Jianjun WANG Changcheng XIE Qinghua ZHAO Rong. Polarimetric SAR Interferometry Vegetation Height Inversion Method of Complex Least Squares Adjustment[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(10): 1061-1067.

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