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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >TOPS Time Series Performance Assessment With TerraSAR-X Data
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TOPS Time Series Performance Assessment With TerraSAR-X Data

机译:使用TerraSAR-X数据进行TOPS时间序列性能评估

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The terrain observation by progressive scans (i.e., TOPS) SAR mode enables a large ground coverage with an azimuth-invariant SNR, while avoiding the drawbacks of scalloping. The implementation of TOPS, obtained by steering the antenna from aft to fore within a burst, introduces an azimuth-dependent Doppler variation on the received signal. The processing of TOPS data needs to account for this signal property, requiring additional care especially when used for SAR interferometry (InSAR) applications. In particular, achieving a high coregistration accuracy is more stringent than for stripmap modes. For the analysis of TOPS InSAR data time series, the required high coregistration accuracy is even more critical, because any small error would translate into a biased estimation of geophysical parameters, such as the surface deformation. In this context, the interferometric processing aspects related to TOPS are discussed in this paper, and several analyses to evaluate the TOPS performance when processing time series are presented. Both permanent scatterers (PS) and small baselines subset (SBAS) techniques will be employed to perform the analysis. Two interleaved time series acquired by the TerraSAR-X sensor in TOPS and stripmap modes are used to evaluate and compare the results.
机译:通过逐行扫描(即TOPS)SAR模式进行的地形观测可以实现大范围的地面覆盖,且具有方位角不变的SNR,同时避免了扇贝效应。通过在突发内将天线从尾部转向到前部来获得TOPS的实现,它会在接收信号上引入与方位角有关的多普勒变化。 TOPS数据的处理需要考虑到此信号属性,因此需要格外小心,尤其是在用于SAR干涉测量(InSAR)应用时。特别是,获得高配准精度比带状图模式要严格得多。对于TOPS InSAR数据时间序列的分析,要求的较高的配向精度甚至更为关键,因为任何小的误差都将转化为对地球物理参数(如表面变形)的有偏估计。在这种情况下,本文讨论了与TOPS相关的干涉测量方面,并提出了几种分析方法来评估处理时间序列时的TOPS性能。永久散射体(PS)和小基线子集(SBAS)技术都将用于执行分析。 TerraSAR-X传感器在TOPS和条带图模式下获取的两个交错时间序列用于评估和比较结果。

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