Research on Mining Area Surface Subsidence Based on Time-Series InSAR Images and Deep Learning Models
Surface subsidence in mining areas is characterized by extensive spatial coverage, complex evolutionary processes, and diverse influencing factors. Conventional monitoring methods and prediction models can hardly meet the demands of large-area continuous monitoring and accurate prediction. Based on time-series InSAR ob...