InSAR平面化误差及其对DEM重建的影响分析

Zheng Xiang, Kaizhi Wang, Xingzhao Liu, Wenxian Yu
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引用次数: 1

摘要

在干涉SAR (InSAR)处理中,干涉图的平坦化是高精度重建DEM的关键。本文分析了利用轨道数据和干涉图谱进行两种压平技术的各种误差来源。讨论了它们的比较,特别是对最终DEM精度的影响。通过不同样本数据的实验验证了理论分析的正确性。结果表明,基于精确轨道数据的平面化算法明显优于基于频谱的平面化算法;然而,与基于频谱的平面化算法相比,基于轨道的平面化算法仅在粗糙轨道数据下才会产生DEM的协调误差;尽管在任何情况下,基于频谱的算法都会导致较高的DEM误差,但如果平均空间干涉光谱越倾向于零,则重建的DEM就越准确。这些都可以很好地符合DEM误差的理论模型。
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Analysis of the InSAR flattening errors and their influence on DEM reconstruction
For interferometric SAR (InSAR) processing, the interferogram flattening is crucial for reconstructing DEM with high accuracy. In this paper, various error sources of the two techniques for flattening, using the orbit data and the interferogram spectrum, are analyzed. Their comparisons and especially the influence on final DEM accuracy are also discussed. Experiment with different sample data are further carried out to validate the theoretical analysis. Results show that the orbit-based flattening algorithm with the precise orbit data will be obviously better than the spectrum-based one; However, coordinative DEM errors will be derived from the orbit-based flattening algorithm, compared with the spectrum-based one, only with coarse orbit data; Although under whatever situation, high DEM errors will be resulted from the spectrum-based algorithm, if the mean spatial interferometric spectrum is more inclined to zero, the DEM reconstruction will be more accurate. All of these can be well in accordance with the theoretical model of DEM errors.
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