Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (12): 1413-1422.doi: 10.11947/j.AGCS.2016.20160113

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Method of Monitoring Urban Area Deformation Based on Differential TomoSAR

WANG Aichun1,2,3, XIANG Maosheng1, WANG Bingnan1   

  1. 1. National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. China Center for Resources Satellite Data and Application, Beijing 100094, China
  • Received:2016-03-25 Revised:2016-10-19 Online:2016-12-20 Published:2017-01-02
  • Supported by:
    National Development and Reform Commission Satellite and Application Development Projects (No.[2012]2083)

Abstract: While the use of differential TomoSAR based on compressive sensing (CS) makes it possible to solve the layover problem and reconstruct the deformation information of an observed urban area scene acquired by moderate-high resolution SAR satellite, the performance of the reconstruction decreases for a sparse and structural observed scene due to ignoring the structural characteristics of the observed scene. To deal with this issue, the method for differential SAR tomography based on Khatri-Rao subspace and block compressive sensing (KRS-BCS) is proposed. The proposed method changes the reconstruction of the sparse and structural observed scene into a BCS problem under Khatri-Rao subspace, using the structure information of the observed scene and Khatri-Rao product property of the reconstructed observation matrix for differential TomoSAR, such that the KRS-BCS problem is efficiently solved with a block sparse l1/l2 norm optimization signal model, and the performance of resolution capability and reconstruction estimation is compared and analyzed qualitatively and quantitatively by the theoretical analysis and the simulation experiments, all of the results show the propose KRS-BCS method practicably overcomes the problems of CS method, as well as, quite maintains the high resolution characteristics, effectively reduces the probability of false scattering target and greatly improves the reconstruction accurate of scattering point. Finally, the application is taking the urban area of the Mobara(in Chiba, Japan) as the test area and using 34 ENVISAT-ASAR images, the accuracy is verifying with the reference deformations derived from first level point data and GPS tracking data, the results show the trend is consistent and the overall deviation is small between reconstruction deformations of the propose KRS-BCS method and the reference deformations, and the accuracy is high in the estimation of the urban area deformation.

Key words: urban area deformation, differential TomoSAR, Khatri-Rao subspace, block compressive sensing

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