Forest Height and Underlying Topography Inversion Using Polarimetric SAR Tomography Based on SKP Decomposition and Maximum Likelihood Estimation

Forest Height and Underlying Topography Inversion Using Polarimetric SAR Tomography Based on SKP Decomposition and Maximum Likelihood Estimation

The key point of forest height and underlying topography inversion using synthetic aperture radar tomography (TomoSAR) depends on the accurate positioning of the phase centers of different scattering mechanisms. The traditional nonparametric spectrum analysis methods (such as beamforming and Capon)...

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Bibliographic Details
Main Authors: Jie Wan, Changcheng Wang, Peng Shen, Jun Hu, Haiqiang Fu, Jianjun Zhu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Forests
Subjects:
forest height
underlying topography
maximum likelihood estimation
SKP decomposition
polarimetric SAR tomography
Online Access:https://www.mdpi.com/1999-4907/12/4/444

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https://www.mdpi.com/1999-4907/12/4/444

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