Electronics & Information Engineering, Beihang University, Beijing 100191, China.
Department of Engineering, University of Cambridge, Cambridge CB12PZ, UK.
Sensors (Basel). 2018 Nov 11;18(11):3883. doi: 10.3390/s18113883.
Ground-based synthetic aperture radar (GB-SAR) uses active microwave remote-sensing observation mode to achieve two-dimensional deformation measurement and deformation trend extraction, which shows great prospects in the field of deformation monitoring. However, in the process of GB-SAR deformation monitoring, the disturbances caused by atmospheric effect cannot be neglected, and the atmospheric phases will seriously affect the precision of deformation monitoring. In discontinuous GB-SAR deformation monitoring mode, the atmospheric phases are particularly affected by changes of time and space, so the traditional models of atmospheric phase correction are no longer applicable. In this paper, the interferometric phase signal model considering atmospheric phase is first established. Then, the time- and space-varying characteristics of the atmospheric phase are analyzed, and a novel time- and space-varying atmospheric phase correction algorithm, based on coherent scatterers analysis, is proposed. Finally, slope deformation monitoring experiments are carried out to verify the validity and robustness of the proposed algorithm.
地基合成孔径雷达(GB-SAR)采用主动微波遥感观测模式,实现二维变形测量和变形趋势提取,在变形监测领域具有广阔的应用前景。然而,在 GB-SAR 变形监测过程中,大气效应对其的影响不容忽视,大气相位会严重影响变形监测的精度。在不连续的 GB-SAR 变形监测模式下,大气相位尤其受时间和空间变化的影响,因此传统的大气相位校正模型不再适用。本文首先建立了考虑大气相位的干涉相位信号模型。然后,分析了大气相位的时变和空变特性,提出了一种基于相干散射分析的新型时变和空变大气相位校正算法。最后,进行了边坡变形监测实验,验证了所提出算法的有效性和鲁棒性。