Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 23-26, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W4/23/2015/
doi:10.5194/isprsarchives-XL-7-W4-23-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
26 Jun 2015
Three Dimensional Deformation of Mining Area Detection by InSAR and Probability Integral Model
H. D. Fan, X. X. Gao, D. Cheng, W. Y. Zhao, and C. L. Zhao Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou 221116, China
Keywords: D-InSAR, deformation monitoring, probability integral method, genetic algorithm, land subsidence Abstract. A new solution algorithm that combined D-InSAR and probability integral method was proposed to generate the three dimensional deformation in mining area. The details are as follows: according to the geological and mining data, the control points set should be established, which contains correct phase unwrapping points in subsidence basin edge generated by D-InSAR and several GPS points; Using the modulus method to calculate the optimum parameters of probability integral prediction; Finally, generate the three dimensional deformation of mining work face by the parameters. Using this method, the land subsidence with big deformation gradients in mining area were correctly generated by example TerraSAR-X images. The results of the example show that this method can generate the correct mining subsidence basin with a few surface observations, and it is much better than the results of D-InSAR.
Conference paper (PDF, 949 KB)


Citation: Fan, H. D., Gao, X. X., Cheng, D., Zhao, W. Y., and Zhao, C. L.: Three Dimensional Deformation of Mining Area Detection by InSAR and Probability Integral Model, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 23-26, doi:10.5194/isprsarchives-XL-7-W4-23-2015, 2015.

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