摘要
森林垂直结构异质性(FVSH)相干散射模型借助层析合成孔径雷达(TomoSAR)获取的层析谱来构建森林垂直结构函数,能更真实地描述森林垂直结构。极化干涉合成孔径雷达(PolInSAR)森林高度反演的精度与相干散射模型紧密相关,利用层析谱优化森林垂直结构函数可提升森林高度反演精度。对比不同垂直结构层析谱构建的异质相干散射模型,并对分析优化后的森林垂直结构函数及相干散射模型的森林高度结果,通过对覆盖法属圭亚那热带雨林的机载P波段全极化合成孔径雷达(SAR)数据集进行试验,发现多重信号分类(MUSIC)算法在优化森林垂直结构函数及基于相干散射模型反演森林高度上,均优于波束成形(Beamforming)和Capon算法。该研究对于国产P波段SAR卫星林业应用具有重要意义。
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.
作者
程晓璐
陈筠力
汪长城
刘艳阳
万杰
CHENG Xiaolu;CHEN Yunli;WANG Changcheng;LIU Yanyang;WAN Jie(School of Geosciences and Info-physics,Central South University,Changsha 410083,Hunan,China;Shanghai Academy of Spaceflight Technology,Shanghai 201109,China)
出处
《上海航天(中英文)》
2025年第3期1-8,共8页
Aerospace Shanghai(Chinese&English)
基金
国家重点研发计划资助课题(2022YFB3903304,2023YFF1303904)
国家自然科学基金资助项目(42471422)。
