Research Article
An Improved Forest Height Inversion Method Using Dual-Polarization PolInSAR Data
@INPROCEEDINGS{10.1007/978-3-030-63083-6_18, author={HuuCuong Thieu and MinhNghia Pham}, title={An Improved Forest Height Inversion Method Using Dual-Polarization PolInSAR Data}, proceedings={Industrial Networks and Intelligent Systems. 6th EAI International Conference, INISCOM 2020, Hanoi, Vietnam, August 27--28, 2020, Proceedings}, proceedings_a={INISCOM}, year={2020}, month={11}, keywords={Dual-polarization PolInSAR Extended 3-stage inversion method Forest height Mean coherence set Ground phase estimation}, doi={10.1007/978-3-030-63083-6_18} }- HuuCuong Thieu
MinhNghia Pham
Year: 2020
An Improved Forest Height Inversion Method Using Dual-Polarization PolInSAR Data
INISCOM
Springer
DOI: 10.1007/978-3-030-63083-6_18
Abstract
The Extended 3-stage method has somewhat improved the precision of estimating forest parameters of the traditional 3-stage inversion method. However, the topography phase and optimal volume coherence coefficient determined by this method are not really optimal, that lead to the forest parameters estimation of this method is unstable and inaccuracy. Therefore, this paper proposes an improved forest height inversion method by dual-polarization channel PolInSAR data to enhance the precision of forest parameters extraction. In the suggested approach, the surface phase is calculated based on the mean coherence set theory. A comprehensive search method is then proposed to determine the polarization channels corresponding to the optimal polarization channel coherence coefficients for the volume scattering component. The effectiveness of the suggested approach was assessed with simulation data from PolSARprosim 5.2 software. The empirical results show that the suggested approach not only improves the effectiveness of the forest parameters estimation of the extended 3-stage method but also reduces the complexity in the calculation.
