PolInSAR coherence based decomposition for scattering characterization of urban area

Awinash Singh, Shashi Kumar, Kavita Jhajharia
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引用次数: 2

Abstract

Polarimetric SAR data based scattering retrieval has been widely used to characterize manmade and natural features. It has been found that PolSAR data has the capability to retrieve scattering information contributed by different features within a small area or single resolution cell. Generally, it has been found that the urban structures are contributing the high double-bounce scattering, but due to closely spaced urban structure, multiple reflections of the SAR waves from the walls of the buildings give the appearance of the volume scattering. The overestimation of volume scattering from urban structure could be reduced by the adoption of interferometric coherence in decomposition modeling. The PolInSAR coherence constitutes the full collection of polarimetric and interferometric information. The urban buildings are considered as permanent scatterers which is usually not affected by the temporal and volume decorrelation. Therefore, they show high coherence magnitudes. The prime focus of this research was the implementation of PolInSAR coherence in the decomposition modeling to minimize the overestimation of volume scattering from the urban structure. This study has used the CoSSC product of the TanDEM-X mission. The PolInSAR data over Dehradun, India were acquired in bistatic mode. All the possible combinations of PolInSAR coherence were generated from TerraSAR-X and TanDEM-X. The Pauli basis based PolInSAR coherence has shown the capability to distinguish different features according to their nature. To find the appropriate coherence for decomposition modeling the optimization was performed on PolInSAR data to select the optimal coherence. The results obtained from PolInSAR coherence based decomposition modeling had shown the dominance of double bounce scattering in the urban area for closely spaced structures also. The study strongly recommends the use of PolInSAR coherence in the decomposition modelling to minimize the ambiguity in the scattering retrieval from an urban area due to close spaced buildings.
基于PolInSAR相干分解的城区散射表征
基于极化SAR数据的散射反演已广泛应用于人工和自然地物的表征。研究发现,PolSAR数据具有在小面积或单个分辨率单元内检索不同特征所贡献的散射信息的能力。一般来说,研究发现城市结构对高双弹散射有贡献,但由于城市结构的紧密分布,建筑物墙体对SAR波的多次反射会产生体散射。在分解模型中采用干涉相干性可以减少城市结构体散射的过高估计。PolInSAR相干性构成了极化和干涉信息的完整集合。城市建筑被认为是永久的分散体,通常不受时间和体积去相关的影响。因此,它们表现出很高的相干幅度。本研究的主要重点是在分解建模中实现PolInSAR相干性,以尽量减少对城市结构体散射的高估。这项研究使用了TanDEM-X任务的CoSSC产品。印度德拉敦的PolInSAR数据是在双基地模式下获得的。PolInSAR相干性的所有可能组合由TerraSAR-X和TanDEM-X生成。基于泡利基的PolInSAR相干性显示出了根据性质区分不同特征的能力。为了寻找合适的相干度进行分解建模,对PolInSAR数据进行了优化,选择了最优相干度。基于PolInSAR相干性的分解模型的结果表明,在城市区域,对于紧密间隔的结构,双反弹散射也占主导地位。该研究强烈建议在分解建模中使用PolInSAR相干性,以最大限度地减少由于建筑物间距紧密而在城市地区散射检索中的模糊性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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