Vegetation height fusion inversion algorithm based on RVoG model

Xiangyu Li; Xiaoqi Lv; Pingping Huang; Haoyang Sun

doi:10.1117/12.3020859

19 January 2024 Vegetation height fusion inversion algorithm based on RVoG model

Xiangyu Li, Xiaoqi Lv, Pingping Huang, Haoyang Sun

Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129800N (2024) https://doi.org/10.1117/12.3020859
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China

Abstract

Aiming at the problem that the classical PolInsar height three-stage geometric inversion algorithm is susceptible to the assumption of terrain amplitude ratio and surface phase when inverting vegetation height, a PolInsar vegetation height joint inversion algorithm based on RVoG model is proposed. The algorithm does not need to assume that the terrain amplitude ratio is zero. The parameters obtained by Esprit algorithm and Freeman two-component decomposition are used to optimize the model. In order to verify the algorithm, this paper uses the simulation data generated by the software PolSARpro of the European Space Agency ( ESA ) to perform vegetation height inversion experiments. The results show that the PolInSAR vegetation height joint inversion algorithm based on RVoG model is better than the three-stage inversion algorithm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangyu Li, Xiaoqi Lv, Pingping Huang, and Haoyang Sun "Vegetation height fusion inversion algorithm based on RVoG model", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129800N (19 January 2024); https://doi.org/10.1117/12.3020859

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available