顾及地形因素的S-RVOG模型和PD相干最优算法联合反演植被高度

解清华; 汪长城; 朱建军; 付海强

doi:10.11947/j.AGCS.2015.20130731

测绘学报 >

2015 , Vol. 44 >Issue 6: 686 - 693

DOI: https://doi.org/10.11947/j.AGCS.2015.20130731

摄影测量学与遥感

顾及地形因素的S-RVOG模型和PD相干最优算法联合反演植被高度

解清华 ,
汪长城 ,
朱建军 ,
付海强

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中南大学地球科学与信息物理学院, 湖南长沙 410083

解清华(1989—),男,博士生,研究方向为极化SAR和极化干涉SAR数据处理。E-mail: csuxqh@126.com

收稿日期: 2013-12-05

修回日期: 2014-07-30

网络出版日期: 2015-07-28

基金资助

国家863计划(2012AA121301);国家自然科学基金(41371335; 41274010);中南大学研究生自主探索创新项目(2013zzts055);国家留学基金(201406370079)

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Forest Height Inversion by Combining S-RVOG Model with Terrain Factor and PD Coherence Optimization

XIE Qinghua ,
WANG Changcheng ,
ZHU Jianjun ,
FU Haiqiang

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School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

Received date: 2013-12-05

Revised date: 2014-07-30

Online published: 2015-07-28

Supported by

The National High-tech Research and Development Program of China (863 Program) (No. 2012AA121301);The National Natural Science Foundation of China (Nos. 41371335;41274010);Postgraduate Autonomous Exploration Project of Central South University(No.2013zzts055);China Scholarship Council(No. 201406370079)

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摘要

针对极化干涉SAR植被高度反演中RVOG模型未考虑地形影响,且三阶段算法受到地面相位估计误差和纯体相干性估计误差影响,提出了一种植被高度反演思路,采用考虑地形因素的S-RVOG模型作为反演模型校正地形影响,同时引入PD相干最优算法用于改善三阶段算法中直线拟合地表相位估计和纯体相干性估计精度。为验证算法的有效性,首先采用欧空局提供的PolSARpro软件模拟了不同地形坡度水平的PolInSAR数据进行仿真试验,然后采用德国宇航局提供的E-SAR机载全极化SAR数据进行真实植被场景测试,并进行了定性和定量分析。结果表明,本文方法对于不同坡度水平数据,均能有效改善传统RVOG反演模型中地形影响和三阶段算法自身误差影响,反演精度更高。

关键词： S-RVOG(slope random volume over ground); 植被高度; 三阶段算法; PD相干最优; 地形影响; E-SAR

本文引用格式

解清华 , 汪长城 , 朱建军 , 付海强 . 顾及地形因素的S-RVOG模型和PD相干最优算法联合反演植被高度[J]. 测绘学报, 2015 , 44(6) : 686 -693 . DOI: 10.11947/j.AGCS.2015.20130731

Abstract

The widely used random volume over ground (RVOG) model in forest height inversion with polarimetric SAR interferometric (PolInSAR) technology do not consider the effect of terrain slope. Besides, the classical and widely applied three-stage inversion method is affected by the errors about estimation of underlying topography phase and pure volume coherence. In order to correct these two types of errors, a forest height inversion strategy is proposed. On the one hand, a slope RVOG (S-RVOG) model is adopted in this paper which incorporates the range terrain slope factor to correct the terrain distortion; on the other hand, the phase diversity (PD) coherence optimization is introduced to improve accuracy of underlying topography phase estimation in line fit process and pure volume coherence estimation. In order to verify efficiency of the method, a simulation experiment is carried out by using PolInSAR data in different range slope levels simulated by PolSARpro software provided by ESA. Then, E-SAR airborne full polarization data provided by DLR are utilized to test real scenario. Finally, it is conducted that some qualitative and quantitative analyses. The results show that for the different data in different range slope levels, the inversion method promises to correct effect due to terrain distortion in RVOG model and compensate error effect in traditional three-stage inversion method. Therefore, the proposed method provides much more accurate estimation of forest parameters.

Key words： S-RVOG(slope random volume over ground); forest height; three-stage algorithm; phase diversity coherence optimization (PD); terrain distortion; E-SAR

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