论文部分内容阅读
常规D-InSAR技术已成功应用于由于火山、地震等引起的地表形变监测,然而受时间失相干和大气延迟等影响,该技术监测地表沉降形变的精度只能达厘米级。本文以美国圣佩德罗湾港口为研究对象,采用干涉点目标分析(IPTA)技术,选用二维线性相位模型对时序差分干涉相位图迭代回归分析,逐次去除大气延迟、DEM误差以及噪声等的影响,最终提取出准确可靠的形变序列相位信息。结果证明IPTA技术对长期微小的地壳累积形变探测具有广阔的应用前景,而且IPTA技术在实现效率和数据存储方面都优于常规的PS-InSAR。
Conventional D-InSAR technology has been successfully applied to the monitoring of surface deformation caused by volcanoes, earthquakes and the like. However, the accuracy of surface deformation monitoring can only reach centimeter level due to the effects of time-loss and atmospheric delay. In this paper, the port of San Pedro Bay in the United States as the research object, using the interference point target analysis (IPTA) technology, the choice of two-dimensional linear phase model of the timing differential interferometry phase diagram iterative regression analysis, successive removal of atmospheric delay, DEM error and noise Influence, eventually extract accurate and reliable sequence of deformed phase information. The results show that the IPTA technology has broad application prospects for the long-term detection of cumulative crustal deformation, and IPTA technology is superior to conventional PS-InSAR in terms of efficiency and data storage.