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Li, J.T.; Xu, H.P.; Shan, L.; Liu, W.; Chen, G.Z. (2016)
Publisher: IOP Publishing
Languages: English
Types: Article
Subjects:
Permanent scatterers differential interferometric synthetic aperture radar (PS-DInSAR) is a\ud technique for detecting surface micro-deformation, with an accuracy at the centimeter to millimeter\ud level. However, its performance is limited by the number of SAR images available (normally more than\ud 20 are needed). Compressive Sensing (CS) has been proven to be an effective signal recovery method\ud with only a very limited number of measurements. Applying CS to PS-DInSAR, a novel\ud CS-PS-DInSAR method is proposed to estimate the deformation with fewer SAR images. By analyzing\ud the PS-DInSAR process in detail, first the sparsity representation of deformation velocity difference is\ud obtained; then, the mathematical model of CS-PS-DInSAR is derived and the restricted isometry\ud property (RIP) of the measurement matrix is discussed to validate the proposed CS-PS-DInSAR in\ud theory. The implementation of CS-PS-DInSAR is achieved by employing basis pursuit algorithms to\ud estimate the deformation velocity. With the proposed method, DInSAR deformation estimation can be\ud achieved by a much smaller number of SAR images, as demonstrated by simulation results

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