【摘要】 合成孔径雷达干涉测量（InSAR）技术在有植被覆盖的矿区难以识别到足够多的监测点目标，导致形变结果无法反映矿区真实形变特征.采用分布式散射体InSAR分析方法，能够有效提高植被密集区域雷达相干目标数量，从而准确描述矿区形变的时间演化规律和空间分布特征.矿区长期高强度开采会引发采空区的地表变形，严重威胁矿区基础设施建设和人员生命财产安全.基于沈阳蒲河煤矿采空区InSAR高精度监测数据，通过地球物理建模反演得到矿区地下关键开采参数，模拟的矿区形变场与InSAR监测结果较为一致，且反演开采参数符合真实开采情况.结合InSAR监测结果与Okada模型反演矿区参数，能够准确描述由采矿造成的采空区地表形变，为科学制定地下开采计划及矿区可持续开发提供重要信息.更多还原

【Abstract】 Interferometic synthetic aperture radar(InSAR) technology has shown great application potential in monitoring geological disasters in mining areas. However, it is difficult for conventional time-series InSAR technology to detect enough radar targets in mining areas covered by vegetation, which causes underestimation or inaccurate estimation of deformation results. Aiming at the scarcity of measurement points in complex mining areas, the distributed scatterer InSAR analysis method can effectively increase the number of measurement points in the vegetation covered area, thereby accurately describing the temporal evolution and spatial distribution characteristics of deformation in mining areas. The long-term and high-intensity mining activities will cause the surface deformation of the goaf, posing serious threats to sustainable mining, infrastructure construction and the safety of lives and property. In order to understand the mining situation in the goaf of Puhe Coal Mine in Shenyang, based on InSAR high-precision monitoring data, the key underground mining parameters in the mine area are obtained through geophysical modeling inversion. The deformation field simulated based on the optimal parameters is consistent with the InSAR monitoring results, and the inversion mining parameters conform to the actual mining situation. Combining InSAR monitoring results with Okada model to invert mining area parameters can truly reflect the actual mining situation, accurately describe the surface deformation of goaf, and provide important information for scientific formulation of underground mining plans and sustainable development of the mining area.更多还原