Research on Forest Height Inversion Algorithm of Three-Stage Full-Polarization SAR Data Based on Improved Coherence Coefficient

Abstract

Polarimetric SAR interference technology (PolInSAR) has a wide range of applications in the extraction of forest height. At present, some commonly used tree height inversion algorithms, such as ESPRIT algorithm and DEM difference method, seriously underestimate the forest tree height. In this paper, in the process of traditional three-stage algorithm, the extraction of the coherence coefficient is improved, and the improved coherence coefficient is more accurate, thus greatly improving the accuracy of three-stage algorithm tree height inversion results. By highly inverting the 25 m data generated by the PolSARPro simulation software, it is found that the height before the improvement of the coherence coefficient is 18.2 m, and the improved height is 23.7 m.