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首页> 外文期刊>International journal of remote sensing >DlnSAR method applied to dual-pair interferograms with Sentinel-1 data: a study case on inconsistent unwrapping outputs
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DlnSAR method applied to dual-pair interferograms with Sentinel-1 data: a study case on inconsistent unwrapping outputs

机译:DLNSAR方法应用于使用Sentinel-1数据的双对干涉图:关于不一致的展开输出的研究案例

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Many works have been implemented to describe how seismic vertical displacement maps can be generated from synthetic aperture radar (SAR) images. The theory that supports these works is a very interesting field in remote sensing which is called differential interferometric SAR (DInSAR). However, behind this theory, there are many limitations and ambiguities that should be clarified before concluding specific results from the interpretation of subsidence maps. In this work, some of these drawbacks will be discussed, by following a typical subsidence map reconstruction with Sentinel-1 satellite images of a seismic region in Mexico. Particularly, the correct estimation of the unwrapped phase, is a crucial step for future analysis, like in time-series studies on subsidence ratios. In order to do this, a sophisticated routine called statistical-cost network-flow phase-unwrapping algorithm (SNAPHU), provided by the European Space Agency (ESA) in free software tools, is commonly applied to general SAR interferograms. However, in this particular study case, focused on simple dual-pair interferometry, atypical outputs obtained from SNAPHU were observed. Due to this inconsistency, the alternate solution proposed here is based on the so-called phase unwrapping by an accumulation of residual maps (ARM) algorithm. Our comparative analysis suggests that ARM outperforms SNAPHU and other tested methods in terms of unwrapped estimates.
机译:已经实施了许多作品以描述如何从合成孔径雷达(SAR)图像中产生地震垂直位移图。支持这些作品的理论是遥感中的一个非常有趣的字段,称为差分干涉机构SAR(DINSAR)。然而,在这个理论背后,在结束对沉降地图解释的具体结果之前,应该澄清许多限制和含糊不清。在这项工作中,将通过在墨西哥的地震区域的Sentinel-1卫星图像之后遵循典型的沉降地图重建,将讨论其中一些缺点。特别地,对未包装相的正确估计是未来分析的关键步骤,例如在时间序列的沉降比例中。为此,在自由软件工具中由欧洲航天局(ESA)提供的复杂的例程称为统计成本网络 - 流阶段展开算法(Snaphu),通常适用于一般的SAR干涉图。然而,在这种特定的研究案例中,专注于简单的双对干涉法,观察到从脊柱瓣获得的非典型输出。由于这种不一致,这里提出的替代解决方案基于残差映射(ARM)算法的累积基于所谓的相位解。我们的比较分析表明,在未包装的估计方面,ARM表现出Sypaphu和其他测试方法。

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