<span>基于无人机摄影的地震形变场测量技术研究</span>-华南地震

文章信息/Info

Title:: Research on Seismic Deformation Field Measurement Technology Based on UAV Photography

Author(s):: DU Qiang; School of Resource and Geomatics，Shaanxi Energy Institute，Xianyang 712000，China

Keywords:: Drone photography; Seismic deformation field; Measurement technology

摘要:: 采用当前方法测量地震形变场时，不能有效去除地震图像中存在的噪声，得到的测量结果与实际结果之间的误差较大，存在抗干扰性差和测量精准度低的问题。提出基于无人机摄影的地震形变场测量技术，对无人机摄影得到的主图像和辅图像做配准处理，采用SAR处理器处理图像数据，得到干涉图。利用SUSAN算法检测干涉图的边缘，通过K均值方法划分模板区域中存在的特征值类别，根据划分结果得到干涉图的相关参数和噪声区域，结合非线性扩散方法和SUSAN算法完成干涉图的去噪处理，依据基线估计去除干涉图中存在的平地效应，利用网络流算法完成相位解缠，获得地形相位值，绘制地震形变图，完成地震形变场的测量。实验结果表明，所提方法的抗干扰性强、测量精准度高。

Abstract:: By using the present method of measuring the seismic deformation field，the noise in the seismic image cannot be effectively removed，measured results got is far from the actual results，and the poor anti-interference and low measurement accuracy are the big problems. Therefore，a seismic deformation field measurement technology based on UAV photography is proposed. The main image and auxiliary image obtained by UAV photography are registered，and the image data are processed by SAR processor to obtain the interferogram. The edge of the interferogram is tested by SUSAN algorithm，and the eigenvalue classes in the template area are divided by K-means method. According to the partition results，the relevant parameters and noise areas of the interferogram are obtained. The denoising of the interferogram is completed by combining the non-linear diffusion method and SUSAN algorithm. The flat-ground effect in the interferogram is removed by baseline estimation，and the phase solution is completed by using network flow algorithm. The phase value of topography is obtained by entanglement，and the seismic deformation map is drawn to complete the measurement of the seismic deformation field. The experimental results show that the proposed method has strong anti-interference and high measurement accuracy.