基于快速分布式目标探测的时序雷达干涉测量方法:以Lost Hills油藏区为例

针对当前分布式目标雷达干涉测量运算效率低、选点困难等问题,本文提出了一种建立在快速同质点选取下的干涉数据处理框架.相比之前的时序数据处理方法,新方法具有选点快速、自适应性强的特点,能在保留影像分辨率基础之上增加空间点密度.另外,在统计推断的基础上,提出基于无偏空间相干性估计的分布式目标选择方法,进而弥补了传统经验阈值设定的缺陷.本文以美国加州Lost Hills油田区为例,在论证数据处理框架的可行性基础之上,分析了因孔隙流体萃取和孔隙压力降低引起的地表变形.

FaSHPS-InSAR technique for distributed scatterers: A case study over the lost hills oil field,California

Multitemporal Synthetic Aperture Radar Interferometry (MT-InSAR) technique for the distributed scatterers (DSs) has been widely developed since 2010. The main limitations of this technique in the current state are high computing burden and the difficulty to define DSs with a suitable threshold. In this paper, we present a novel framework of data processing of radar interferometry for DSs. Compared with the state-of-the-art, the significant advantage of the new method is its low computing burden with high self-adaptability, and improved DSs density without loss of resolution. Besides, the DS candidates are selected according to the statistics of spatial sample coherence magnitude rather than the empirical threshold. The real SAR dataset over Lost Hillsoil field, California, is used to demonstrate the value of our method.