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基于垂直结构异质模型的PolInSAR森林高度反演

程晓璐 陈筠力 汪长城 刘艳阳 万杰

上海航天(中英文)2025,Vol.42Issue(3):1-8,8.
上海航天(中英文)2025,Vol.42Issue(3):1-8,8.DOI:10.19328/j.cnki.2096-8655.2025.03.001

基于垂直结构异质模型的PolInSAR森林高度反演

PolInSAR Forest Height Inversion Based on the Vertical Structural Heterogeneity Model

程晓璐 1陈筠力 2汪长城 1刘艳阳 2万杰1

作者信息

  • 1. 中南大学地球科学与信息物理学院,湖南 长沙 410083
  • 2. 上海航天技术研究院,上海 201109
  • 折叠

摘要

Abstract

The forest vertical structure heterogeneity(FVSH)model constructs a forest vertical structure function using tomographic spectra obtained from tomographic synthetic aperture radar(TomoSAR),and can accurately describe the forestvertical structure.The accuracy of polarimetric interferometric synthetic aperture radar(PolInSAR)forest height inversion is closely related to the coherent scattering model.Optimizing the forest vertical structure function with tomographic spectra can improve the inversion accuracy.In this paper,the heterogeneous coherent scattering models constructed from different vertical structure tomography spectra are comparatively analyzed,and the optimized forest vertical structure function and the forest height inversion results of the coherent scattering modelare analyzed.Tests on an airborne P-band fully polarizedsynthetic aperture radar(SAR)dataset covering tropical rainforests in French Guiana are carried out.The results show that themultiple signal classification(MUSIC)algorithm outperforms the Beamforming and Capon algorithms in optimizing forest vertical structure functions and retrieving forest heights based on coherent scattering models.This study is of great significance for the forestry application of domestically produced P-band SAR satellites.

关键词

极化干涉合成孔径雷达(PolInSAR)/森林高度反演/相干散射模型/层析合成孔径雷达(SAR)

Key words

polarimetric interferometric synthetic aperture radar(PolInSAR)/forest height inversion/coherent scattering model/tomographic synthetic aperture radar(SAR)

分类

信息技术与安全科学

引用本文复制引用

程晓璐,陈筠力,汪长城,刘艳阳,万杰..基于垂直结构异质模型的PolInSAR森林高度反演[J].上海航天(中英文),2025,42(3):1-8,8.

基金项目

国家重点研发计划资助课题(2022YFB3903304,2023YFF1303904) (2022YFB3903304,2023YFF1303904)

国家自然科学基金资助项目(42471422) (42471422)

上海航天(中英文)

2096-8655

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