Comparison of forest 3D digital height map estimation algorithms based on PolInSAR technology

Shaowei Pan; Jie Qin; Yu Feng; Jun Wu; Yuanhong Chen; Lv Zhou; Yan Li

doi:10.1117/12.2668332

23 February 2023 Comparison of forest 3D digital height map estimation algorithms based on PolInSAR technology

Shaowei Pan, Jie Qin, Yu Feng, Jun Wu, Yuanhong Chen, Lv Zhou, Yan Li

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125512O (2023) https://doi.org/10.1117/12.2668332
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

Polarimetric interferometric SAR (PolInSAR) technology plays an important role in large range forest height estimation, and the estimation algorithm is a very important part in the inversion process. This paper used the simulated L-band fully polarized airborne SAR data, and used DEM difference method, complex coherence amplitude method and RVOG ground phase method to estimate tree height, and simulates five kinds of forest density to test the effect of forest density on the inversion results of RVOG ground phase method, and carries out the result statistics and accuracy verification. The results showed that the average value and RMSE of DEM difference method were 10.10m and 10.57m, the average value and RMSE of complex coherence amplitude method were 17.63m and 7.20m, and the average value and RMSE of RVoG ground phase method were 20.22m and 5.81m. The results of the complex coherence amplitude method were relatively discrete, indicating that the robustness of the algorithm was slightly weak. The inversion effect of the RVOG ground phase method was the best. With the increase of forest density in a certain range, the RMSE of RVOG ground phase inversion results changed from 6.91m to 5.72m, indicating that the inversion accuracy was higher, but the increase of accuracy was not obvious when the forest density reached a certain value, indicating that it is suitable for forest height inversion with medium and high tree density.

Citation Download Citation

Shaowei Pan, Jie Qin, Yu Feng, Jun Wu, Yuanhong Chen, Lv Zhou, and Yan Li "Comparison of forest 3D digital height map estimation algorithms based on PolInSAR technology", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125512O (23 February 2023); https://doi.org/10.1117/12.2668332

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KEYWORDS

Vegetation

Complex amplitude

Polarization

Scattering

Synthetic aperture radar

Technology

L band

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