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

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.

[1] Fabio Rocca,et al. Permanent scatterers in SAR interferometry , 1999, Remote Sensing.

[2] Fabio Rocca,et al. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry , 2000, IEEE Trans. Geosci. Remote. Sens..

[3] Gianfranco Fornaro,et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms , 2002, IEEE Trans. Geosci. Remote. Sens..

[4] Stefano Tebaldini,et al. On the Exploitation of Target Statistics for SAR Interferometry Applications , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[5] Antonio Pepe,et al. New Advances of the Extended Minimum Cost Flow Phase Unwrapping Algorithm for SBAS-DInSAR Analysis at Full Spatial Resolution , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[6] Alessandro Parizzi,et al. Adaptive InSAR Stack Multilooking Exploiting Amplitude Statistics: A Comparison Between Different Techniques and Practical Results , 2011, IEEE Geoscience and Remote Sensing Letters.

[7] Claudio Prati,et al. A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR , 2011, IEEE Transactions on Geoscience and Remote Sensing.