Additional Reference Height Error Analysis for Baseline Calibration Based on a Distributed Target DEM in TwinSAR-L
Additional Reference Height Error Analysis for Baseline Calibration Based on a Distributed Target DEM in TwinSAR-L
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TwinSAR-L 中基于分布式目标 DEM 的基线校准附加参考高度误差分析
DOI：
10.3390/rs13142750
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发表时间：
2021-07
期刊：
影响因子：
5
通讯作者：
Du Shaoyan
中科院分区：
文献类型：
--
作者：
Qi Yang;Wang Yu;Hong Jun;Du Shaoyan
在本文中，由于l波段星载双基地干涉SAR在沙漠地区的穿透深度和信噪比去相关所引起的额外参考高度误差，将使现有的基于分布式目标及其DEM产品的基线定标方法产生显著误差。为了量化这两种误差，本文以TwinSAR-L任务为例，对TwinSAR-L任务进行了介绍，概述了TwinSAR-L任务需要满足的理论基线精度要求，并以TwinSAR-L任务为例，解决了沙漠地区一般由于穿透深度和信噪比去相关而产生的额外参考高度误差。本文基于新疆东部干旱沙漠地区的ALOS-2数据，对这些附加参考高度误差进行了定量分析。结果表明：侵入深度和信噪比去相关带来的额外参考高度误差分别为1.295 m和1.39 m，甚至会造成6.4 mm和8.6 mm的基线标定误差。这些误差将严重降低基线标定精度，进而影响DEM产品质量。因此，本文的分析不仅对基线标定具有重要意义，而且对高质量DEM的生成、精度评价以及地球物理参数的定量反演和应用具有重要意义。
In this paper, additional reference height errors, caused by the penetration depth and Signal to Noise Ratio (SNR) decorrelation in desert regions in L-band spaceborne bistatic interferemetric SAR, will introduce significant errors in nowadays baseline calibration method based on distributed target and consequent DEM products. To quantify these two errrors, this paper takes the TwinSAR-L mission as an example, gives an introduction of TwinSAR-L, outlines the theoretical baseline accuracy requirements that need to be satisfied in the TwinSAR-L mission and addresses the additional reference height errors caused by the penetration depth and SNR decorrelation in desert regions in general by taking the TwinSAR-L mission as an example. Based on ALOS-2 data from a dry desert region in the east of Xing Jiang, this paper quantitatively analyzes these additional reference height errors. The results show that the additional reference height errors resulted from the penetration depth and the SNR decorrelation are 1.295 m and 1.39 m, respectively, which would even cause 6.4 mm and 8.6 mm baseline calibration errors. These errors would seriously degrade the baseline calibration accuracy and the consequent DEM product quality. Therefore, our analysis is of great significance not only for baseline calibration, but also for high-quality DEM’s generation, accuracy assessment and geophysical parameters’ quantitative inversion and application.
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DOI：
10.1117/12.2534743
发表时间：
2019-10
期刊：
Active and Passive Microwave Remote Sensing for Environmental Monitoring III
影响因子：
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DOI：
10.1109/igarss.2012.6352346
发表时间：
2012-07
期刊：
2012 IEEE International Geoscience and Remote Sensing Symposium
影响因子：
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DOI：
--
发表时间：
2015-05
期刊：
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影响因子：
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影响因子：
8.2
作者：
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通讯作者：
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DOI：
10.1109/igarss.2009.5417708
发表时间：
2009-07
期刊：
2009 IEEE International Geoscience and Remote Sensing Symposium
影响因子：
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