Averaging and Formulation Impact on GB-SAR Topographic Mapping
Averaging and Formulation Impact on GB-SAR Topographic Mapping
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DOI：
10.1109/lgrs.2008.2001480
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发表时间：
2008-11
影响因子：
4.8
通讯作者：
A. Martinez-Vazquez;J. Fortuny-Guasch
中科院分区：
文献类型：
--
作者：
A. Martinez-Vazquez;J. Fortuny-Guasch
提出了一种利用地基合成孔径雷达（GB-SAR）图像生成数字地形模型（DTM）的新处理器。利用联合研究中心从锡永谷试验场获得的C波段GB-SAR图像档案对处理器的性能进行了评估，从该试验场可以获得高分辨率地面实况数字地面模型。为了减少两个DTM之间的差异的标准偏差，已经应用了几种技术：干涉图平均，相位参考和差分路径校准。此外，不同的配方进行了审查，其影响已被量化的DTM精度。结果表明，地面实况DTM和C波段GB-SAR之间的差异的标准偏差可以减少从5米，以前报告下降到3米与新的处理器。
A novel processor for the generation of a digital terrain model (DTM) using ground-based synthetic aperture radar (GB-SAR) imagery is presented. The performance of the processor has been assessed using the archive of C-band GB-SAR images available at the Joint Research Centre from the Sion Valley (CH) test site, from which a high-resolution ground-truth DTM is available. In order to reduce the standard deviation of the differences between the two DTMs, several techniques have been applied: interferogram averaging, phase referencing, and differential path calibration. In addition, different formulations have been reviewed, and its impact has been quantified in the DTM accuracy obtained. Results show that the standard deviation of the differences between the ground-truth DTM and that of the C-band GB-SAR can be reduced from the 5 m that was previously reported down to 3 m with the new processor.