Subsidence monitoring in coal area using time-series InSAR combining persistent scatterers and distributed scatterers

In order to monitor the ground deformation due to coal mining, a new time-series InSAR technique combining PSs and DSs is presented in this paper. Firstly DSs are efficiently identified using classified information and statistical characteristics. Then a two-scale network is introduced into traditional PSI to deal with PSs and DSs. The proposed method is performed to investigate the subsidence of Huainan City, Anhui province (China) during the time of 2012-2013 using 14 scenes of Radarsat-2 images. Experimental results show that the proposed method can ease the estimation complexity and significantly increase the spatial density of measurement points, which can provide more detailed deformation information. The proposed method brings practical applications for non-urban area deformation monitoring.