由于城市地区地表障碍物较多，地震检波器的布设往往不满足采样定理的要求,三维地震勘探方法在城市地区的地下空间探测中难以大规模应用。压缩感知采集理论不依赖规则道间距和规则网格，不仅能够节约采集成本，而且能够克服城市地区障碍物较多的难题，是解决城市地区地震采集的有效途径。我们前期的浅层二维地震压缩感知采集和成像结果展示了其潜在的价值。本项目针对城市地区地震检波器布设空间受限问题，以检波器和炮点可分布的空间为约束，研究基于炮点和检波器随机分布的三维地震采集方法。为了衡量采集设计的质量和获得完备的数据，研究基于非凸稀疏正则化的高维地震数据重建方法以获得完备规则的采样数据。拟通过典型地区的压缩感知采集实验和成像结果对比，证明压缩感知三维采集的优越性。本项目将提出适合城市地区的三维地震勘探的采集方法，为城市地下空间探测提供高精度探测手段。

Since the existence of obstacles in urban area, the layout of geophones always does not satisfy the sampling theorem. The 3D seismic exploration method is difficult to be applied on a large scale in underground space exploration of urban areas.The compressed sensing acquisition theory does not rely on regular trace spacing and regular grids, which not only saves acquisition costs, but also overcomes the problem of obstacles in urban areas. The compressed sensing theory is a potential avenue for urban seismic exploration.Our previous shallow two-dimensional seismic compressed sensing acquisition and imaging results demonstrate its potential value. This project is aimed at the space limitation problem of geophones in urban areas, and studies the 3D seismic acquisition scheme based on randomness of geophones and shots. The space where the detectors and the shots can be distributed is taken as constraint. In order to measure the quality of the acquisition design and obtain complete data, the high-dimensional seismic data reconstruction method based on non-convex sparse regularization is studied to obtain complete sampling data. It is proposed to test the compressed sensing acquisition experiment and imaging results in typical regions to prove the priority of 3D acquisition of compressed sensing. The project will develop suitable acquisition methods for 3D seismic exploration in urban areas, providing high-precision detection methods for urban underground space exploration.