中南大学地球科学与信息物理学院—朱建军教授 |《测绘学报(英文版)》2024年第3期重磅文章推荐

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摘要:LIN Dongfang, ZHU Jianjun, LI Zhiwei, FU Haiqiang, LIANG Ji, ZHOU Fangbin, ZHANG Bing. A Multi-Baseline PolInSAR Forest Height Inv

🔷Title l 题目

A Multi-Baseline PolInSAR Forest Height Inversion Method Taking into Account the Model Ill-posed Problem

🔷Citation l 引文格式

LIN Dongfang, ZHU Jianjun, LI Zhiwei, FU Haiqiang, LIANG Ji, ZHOU Fangbin, ZHANG Bing. A Multi-Baseline PolInSAR Forest Height Inversion Method Taking into Account the Model Ill-posed Problem[J]. Journal of Geodesy and Geoinformation Science, 2024, 7(3): 42-56.

🔷Abstract l 摘要

Affected by the insufficient information of single baseline observation data, the three-stage method assumes the Ground-to-Volume Ratio (GVR) to be zero so as to invert the vegetation height. However, this assumption introduces much biases into the parameter estimates which greatly limits the accuracy of the vegetation height inversion. Multi-baseline observation can provide redundant information and is helpful for the inversion of GVR. Nevertheless, the similar model parameter values in a multi-baseline model often lead to ill-posed problems and reduce the inversion accuracy of conventional algorithm. To this end, we propose a new step-by-step inversion method applied to the multi-baseline observations. Firstly, an adjustment inversion model is constructed by using multi-baseline volume scattering dominant polarization data, and the regularized estimates of model parameters are obtained by regularization method. Then, the reliable estimates of GVR are determined by the MSE (mean square error) analysis of each regularized parameter estimation. Secondly, the estimated GVR is used to extracts the pure volume coherence, and then the vegetation height parameter is inverted from the pure volume coherence by least squares estimation. The experimental results show that the new method can improve the vegetation height inversion result effectively. The inversion accuracy is improved by 26% with respect to the three-stage method and the conventional solution of multi-baseline. All of these have demonstrated the feasibility and effectiveness of the new method.

🔷Key Words l 关键词

multi-baseline; vegetation height; GVR; PolInSAR; ill-posed problem

🔷Authors l 作者

LIN Dongfang, ZHU Jianjun, LI Zhiwei, FU Haiqiang, LIANG Ji, ZHOU Fangbin, ZHANG Bing.

🔷全文摘录如下

来源:测绘学报

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