Prediction of forest canopy structure from PolInSAR dataset

[PDF] mdpi.com

Retrieval of forest vertical structure from PolInSAR data by machine learning using LIDAR-derived features

G Brigot, M Simard, E Colin-Koeniguer, A Boulch - Remote Sensing, 2019 - mdpi.com
This paper presents a machine learning based method to predict the forest structure
parameters from L-band polarimetric and interferometric synthetic aperture radar (PolInSAR) …
被引用次数：33 相关文章 所有 13 个版本

Machine-learning inversion of forest vertical structure based on 2-D-SGVBVoG model for P-band Pol-InSAR

X Sun, B Wang, M Xiang, L Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The polarimetric interferometric synthetic aperture radar (Pol-InSAR) model under P-band
observations exhibits vertical structure diversity. Compared with the exponential-based …
被引用次数：9 相关文章 所有 2 个版本
[PDF] ieee.org

Compact polarimetric SAR interferometry target decomposition with the Freeman–Durden method

K Han, M Jiang, M Wang, G Liu - IEEE Journal of Selected …, 2018 - ieeexplore.ieee.org
In this paper, we apply the Freeman-Durden decomposition method to the compact
polarimetric synthetic aperture radar (SAR) interferometry (C-PolInSAR) data. The complex …
被引用次数：13 相关文章 所有 2 个版本

Coherence feature modelling for single-baseline Pol-InSAR

X Sun, S Jiang, C Song - IET Conference Proceedings CP874, 2023 - IET
In order to solve the problem that P-band polarimetric interferometric synthetic aperture
radar (Pol-InSAR) observation is difficult to be modelled, this paper focuses on the analysis …
相关文章 所有 2 个版本