首页> 外文会议>ESA SP-611; Dragon Symposium on Mid-Term Results; 20050627-0701; Santorini(GR) >CASE STUDY OF FACTORS AFFECTING TREE HEIGHT INVERSION PERFORMANCE USING SIR-C/X POLARIMETRIC INTERFEROMETRIC SAR DATA OF HETIAN TEST SITE IN CHINA
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CASE STUDY OF FACTORS AFFECTING TREE HEIGHT INVERSION PERFORMANCE USING SIR-C/X POLARIMETRIC INTERFEROMETRIC SAR DATA OF HETIAN TEST SITE IN CHINA

机译:基于中国黑田试验站SIR-C / X偏振态干涉测量SAR数据影响树高反演性能的因素案例研究

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摘要

In order to evaluate and study polarimetric SAR interferometry tree height inversion algorithm, three passes of SIR-C/X SAR L band full polarization SLC data were acquired for the same imaging area in the western region of Hetian district, Xinjiang Vygur Autonomous Region of PRC. China. The three images acquired in separate days of Oct. 7, Oct.8 and Oct. 9 of 1994 makes the study of the factors affecting performance of three-stage tree height inversion methodology possible. In addition to the SAR data, two scenes of Landsat TM/ETM+ data, one Land cover map and some sheets of 1:50000 topographic maps covering the test site were collected. Firstly, the INSAR preprocessing methods, such as sub-pixel accuracy co-registration, baseline estimation, flatten phase removal, effective wave number and incidence angel images generation, and the three-stage inversion method were outlined. Then data processing and tree height inversion results were analyzed. Some points established from physics theory and simulation POLInSAR data in some publications were confirmed by the primary results of the case study: It has been observed that the tree height image generated from full model inversion (FMI) is much noisy, and better inversion result was observed with vegetation bias removal (VBR) method; The maximum DEM difference (MDD) method can underestimate forest height. Some possible error sources that can lead to worse inversion result have been analyzed and the way to solve this problem has been suggested.
机译:为了评估和研究偏振SAR干涉仪树高反演算法,在新疆维吾尔自治区和田区西部同一成像区域采集了三遍SIR-C / X SAR L波段全偏振SLC数据。 。中国。 1994年10月7日,10月8日和10月9日分别采集的三幅图像使得研究影响三阶段树高反演方法性能的因素成为可能。除了SAR数据外,还收集了两个Landsat TM / ETM +数据场景,一张Land Cover图和一些覆盖测试地点的1:50000地形图。首先,概述了INSAR预处理方法,如亚像素精度共配准,基线估计,平坦相位去除,有效波数和入射天使图像生成以及三阶段反演方法。然后对数据处理和树高反演结果进行了分析。案例研究的主要结果证实了从物理学理论和模拟POLInSAR数据中得出的一些观点:观察到,由全模型反演(FMI)生成的树高图像噪声很大,反演结果更好。用植被偏斜去除法(VBR)观察;最大DEM差异(MDD)方法可能会低估森林高度。分析了一些可能导致反演结果更糟的错误源,并提出了解决此问题的方法。

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