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将星载SAR时间序列技术引入到地基SAR影像处理中,研究时序地基SAR影像监测地震后滑坡灾害。鉴于地基SAR设备与星载SAR传感器多方面均存在较大差异,时序星载SAR技术实际上不能直接用于地基SAR影像序列的分析与处理。考虑地基SAR气象环境等因素的影响,选用子影像集的方法,详细分析了时序地基SAR平均子影像集的生成、相干点目标的选取、沉降模型的建立与解算等处理步骤。以云南鲁甸地震后红石岩滑坡作为研究对象,首先对GB-SAR影像数据依据各影像数据质量提取生成子影像集,然后利用多阈值相结合的方法提取相干点目标,最后对时序建模后的结果进行分析。研究表明时序地基SAR子影像集监测滑坡灾害是有效的。
The introduction of spaceborne SAR time-series technology into the ground-based SAR image processing to study the time series of ground-based SAR images to monitor the landslide disasters after the earthquake. In view of the large differences between ground-based SAR equipment and spaceborne SAR sensors in many aspects, TSS can not be directly used in the analysis and processing of ground-based SAR image sequences. Considering the influence of factors such as the meteorological environment of the ground-based SAR, the method of sub-image set is selected. The generation of SAR sub-image sets of time-series foundation, the selection of coherent point targets, the establishment and solution of settlement model are analyzed in detail. Based on the Hongshiyan landslide after the earthquake in Ludian, Yunnan Province, the GB-SAR image data is first extracted from each image data to generate a sub-image set, and then the target of the coherence point is extracted by combining multiple thresholds. Finally, After the results of the analysis. Research shows that temporal subgrade SAR image set is effective in monitoring landslide hazards.