Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 57-62, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/57/2012/
doi:10.5194/isprsarchives-XXXIX-B7-57-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
31 Jul 2012
A NEW PERSISTENT SCATTER NETWORK CONSTRUCTION ALGORITHM FOR PERSISTENT SCATTER INSAR AND ITS APPLICATION TO THE DETECTION OF URBAN SUBSIDENCE
X. Luo, D. Huang, G. Liu, L. Zhou, and K. Dai Dept. of Remote Sensing & Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, China
Keywords: persistent scatters, three-dimensional persistent scatter Delaunay network, de-correlations, atmospheric delays, urban subsidence Abstract. To extremely eliminate atmospheric delays for improving the accuracy of persistent scatter InSAR, the algorithm for constructing three-dimensional Delaunay network of global positioning system (GPS) stations is introduced to construct three-dimensional persistent scatter Delaunay network. The comparison with two-dimensional persistent scatter network indicates that three-dimensional Delaunay network is stable and avoids the affect of landscape conversion from geography space to image space. The urban subsidence of Lujiazui in Shanghai during 1992–2002 was effectively detected with InSAR based on three-dimensional persistent scatter Delaunay network. The result shows that persistent scatter InSAR based on three-dimensional persistent scatter Delaunay network can be used to efficiently and accurately detect ground deformation. The comparison with Leveling and InSAR based on persistent scatter planar network indicates that the accuracy and reliability of InSAR based on three-dimensional persistent scatter Delaunay network are significantly improved.
Conference paper (PDF, 1151 KB)


Citation: Luo, X., Huang, D., Liu, G., Zhou, L., and Dai, K.: A NEW PERSISTENT SCATTER NETWORK CONSTRUCTION ALGORITHM FOR PERSISTENT SCATTER INSAR AND ITS APPLICATION TO THE DETECTION OF URBAN SUBSIDENCE, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 57-62, doi:10.5194/isprsarchives-XXXIX-B7-57-2012, 2012.

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