Chen Bing, Xu Shao-jian, Zhang Ping. Research on the Single-Baseline PolInSAR Inversion Algorithms[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1744-1746. doi: 10.3724/SP.J.1146.2007.00367
Citation:
Chen Bing, Xu Shao-jian, Zhang Ping. Research on the Single-Baseline PolInSAR Inversion Algorithms[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1744-1746. doi: 10.3724/SP.J.1146.2007.00367
Chen Bing, Xu Shao-jian, Zhang Ping. Research on the Single-Baseline PolInSAR Inversion Algorithms[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1744-1746. doi: 10.3724/SP.J.1146.2007.00367
Citation:
Chen Bing, Xu Shao-jian, Zhang Ping. Research on the Single-Baseline PolInSAR Inversion Algorithms[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1744-1746. doi: 10.3724/SP.J.1146.2007.00367
Polarimetric Interferometric SAR (PolInSAR) is a new advanced technique recently based on measurement techniques of polarimetric SAR and interferometric SAR, and making use of PolInSAR data for retrieving the vertical structure parameters of the vegetation layer becomes the hot research topic of the PolInSAR at present. The most useful Single-baseline PolInSAR inversion algorithm is the three-stage inversion algorithm, which was proposed by Cloude and Papathanassiou, but this algorithm has the errors on the its three aspects: coherence estimation, line fitting and volume coherence estimation, and this errors straightly effect the inversion precision. This paper proposes a new inversion algorithm based on the statistic characteristic and PolInSAR phase optimization algorithm, and takes the PolInSAR simulated data to prove the validity of this algorithm.
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