陆坦-1双基地InSAR系统相干性初步评价

IF 8.6 Q1 REMOTE SENSING
Huacan Hu , Haiqiang Fu , JianJun Zhu , Qijin Han , Aichun Wang , Kefu Wu , Dong Zeng , Yanzhou Xie , Mingxia Zhang , Yang Liu
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引用次数: 0

摘要

LuTan-1 (LT-1)任务由两颗几乎相同的合成孔径雷达(SAR)卫星,LT-1A和LT-1B组成,于2022年6月至12月进行了前所未有的l波段双基地数据采集,目的是生成高精度数字高程模型(dem)并支持地质,测绘和森林相关研究中的应用。因此,系统地评估一致性是必要的,因为它有助于对系统性能和数据质量的全面理解,从而更有效地支持上述应用。本研究首先分析了可能导致LT-1相干性损失的几种误差源,并提供了相应的数据处理工作流程、校准程序和补偿策略。具体来说,评估和分析包括共配准误差、基线去相关、频谱移位、射频干扰、模糊、有限信噪比和量化误差的影响。随后,我们重点研究了体积散射引起的去相关,并对沙漠和冰雪覆盖地区的森林和建筑高度以及穿透深度进行了体积去相关的敏感性和应用分析。这一分析为其在相应具体场景中的应用提供了有价值的参考。最后,我们展示了中国所有LT-1双基地InSAR采集数据的相干性空间分布,展示了LT-1任务出色的干涉测量能力,并为科学界提供了这一独特数据集的质量概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First evaluation of the coherence of LuTan-1 bistatic InSAR system
The LuTan-1 (LT-1) mission, consisting of two nearly identical synthetic aperture radar (SAR) satellites, LT-1A and LT-1B, conducted unprecedented L-band bistatic data acquisition from June to December 2022, with the objective of generating high-precision digital elevation models (DEMs) and supporting applications in geology, surveying and mapping, and forest-related studies. Therefore, a systematic evaluation of coherence is necessary, as it facilitates a comprehensive understanding of system performance and data quality, thereby supporting the above applications more effectively. This study first analyzes several error sources that can cause LT-1 coherence loss and provides corresponding data processing workflows, calibration procedures, and compensation strategies. Specifically, the evaluation and analysis include the impacts of co-registration errors, baseline decorrelation, spectral shift, radio frequency interference, ambiguity, limited signal-to-noise ratio, and quantization errors. Subsequently, we focus on decorrelation caused by volume scattering and conduct a sensitivity and application analysis of volume decorrelation with respect to forest and building height, as well as penetration depth in desert and snow-/ice-covered areas. This analysis offers a valuable reference for its application in corresponding specific scenarios. Finally, we present the spatial distribution of coherence derived from all LT-1 bistatic InSAR acquisitions over China, demonstrating the excellent interferometric capability of the LT-1 mission and providing the scientific community with a quality overview of this unique dataset.
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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