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Time Series Analysis of Scansar Interferograms using the Small Baseline Subset Technique

机译:使用小基线子集技术的Scansar干扰图的时间序列分析

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We generate a deformation time series by applying the Small BAseline Subset (SBAS) InSAR processing algorithm to ScanSAR (burst mode) data synthesized from ERS-1/2 stripmap SAR data. Careful selection of interferometric image pairs based on short spatial and temporal baselines mitigates higher levels of decorrelation observed in low-resolution ScanSAR data. We simulate burst mode data from 40 ERS-1/2 stripmap raw datasets over Phoenix, Arizona by omitting raw data lines. Interferograms are formed for varying amounts of burst overlap to reflect a realistic ScanSAR scenario and the effect of loss of resolution and coherence on accuracy of time series solution due to varying amounts of burst overlap is investigated. Comparison of ScanSAR SBAS results with stripmap SBAS results shows a mean error of 0.01-0.1 cm/year in velocity estimates and 0.4-2.1 cm error in displacements.
机译:我们通过将小基线子集(SBAS)INSAR处理算法应用于从ERS-1/2 TILMAP SAR数据合成的ScanSAR(突发模式)数据来生成变形时间序列。仔细选择基于短空间和时间基线的干涉图像对减轻了在低分辨率Scansar数据中观察到的更高水平的去相关性。通过省略原始数据线,我们通过凤凰,亚利桑那州的40 ers-1/2条带图的突发模式数据进行了模拟。形成干扰图以形成不同量的突发重叠,以反映现实的Scansar场景,并且研究了分辨率丧失的损失和对时间序列溶液的精度的影响,这是由于变化的突发重叠的时间序列解。 Scansar SBA结果的比较STILMAP SBAS结果显示了速度估计值0.01-0.1cm /厘米的平均误差和位移中的0.4-2.1cm。

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