首页 >  2010, Vol. 14, Issue (4) : 814-830

摘要

全文摘要次数: 4166 全文下载次数: 106
引用本文:

DOI:

10.11834/jrs.20100414

收稿日期:

2009-09-11

修改日期:

2010-02-01

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极化干涉SAR森林高度反演方法研究
1.电子科技大学地表空间信息技术研究所, 成都 610054;2.中国林业科学研究院资源信息研究所, 北京 100091;3.电子科技大学电子工程学院, 成都 610054;4.北京师范大学地理学与遥感科学学院, 北京 100875
摘要:

在分析随机体散射体/地表二层(RVoG)散射模型的基础上, 利用德国宇航局机载SAR系统(ESAR)获取的POLInSAR数据和森林高度地面观测数据, 对多种已有的森林高度反演模型进行了比较评价, 从物理机制上对试验结果进行了分析、解释, 进而发展了一种基于极化相干优化和非体散射去相干补偿的综合反演方法, 实验结果表明, 基于该方法的树高反演效果总体上优于其他方法。

Forest height estimation methods using polarimetric SAR interferometry
Abstract:

Forest height extraction with polarimetric SAR interferometry (POLInSAR) is a hot research field of imaging SAR remote sensing. Several available forest height inversion methods using POLInSAR data were validated and compared with repeat pass E-SAR datasets and the corresponding ground measured forest stand height through the analysis of the Random Volume over Ground (RVoG) scattering model. After analyzing the experiment results in the view of physical mechanisms, we developed an integrated inversion method combining interferometric coherence optimization and compensation of non-volumetric scattering decorrelation. Validation result shows that the general performance of the developed forest height inversion method is superior to the others.

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