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Polarimetric SAR interferometry (PolInSAR) is a hot remote sensing technique that allows to extract forest heights by means of model-based inversion. Recently, there have been plenty of research on the retrieval of vegetation parameters by single frequency single baseline PolInSAR such as the ESPRIT method, three-stage inversion. However, these methods have several shortcomings which tend to underestimate the forest height due to attenuations of the electromagnetic waves in the ground medium. In order to overcome these shortcomings, an improved three component decomposition technique using PolInSAR image is proposed in this paper. By means of coherence set and a Newton-Raphson method, the proposed method improve the accuracy of forest height estimation. The proposed algorithm performance is evaluated with simulated data from PolSARProSim software and L-band PolInSAR image pair of Tien-Shan test site is acquired by the SIR-C/X-SAR system.

Improved Three-Component Decomposition Technique for Forest Parameters Estimation from PolInSAR Image