An Extraction Method for Large Gradient Three-Dimensional Displacements of Mining Areas Using Single-Track InSAR, Boltzmann Function, and Subsidence Characteristics

This paper presents an extraction method for large gradient three-dimensional (3-D) displacements of mining areas using single-track interferometric synthetic aperture radar (InSAR), Boltzmann function, and subsidence characteristics. is mainly aimed at overcoming the limitations surface deformation monitoring in by InSAR technology. One that rapid mine usually leads to image decoherence, which makes it difficult obtain correct information. Second, monitored only one-dimensional line sight (LOS) displacement, thus reflect real 3-D surface. Firstly, function prediction model (BPM) introduced assist phase unwrapping; missing recovered. Then, characteristics horizontal (or near-horizontal) coal seams are used as prior knowledge theoretical derivation, a displacement seam with constructed. The feasibility verified simulating LOS random noise underestimation phenomenon caused observations. results show root mean square error (RMSE) on observation calculated proposed 21.5 mm, 19.0 32.9 respectively. Based Sentinel-1 images, this was applied Huaibei mine, experimental extracted good agreement measurement station. can adapt limited acquisitions complex environments.