TY - GEN
T1 - An efficient algorithm for compressive sensing based SAR tomography
AU - Shi, Yilei
AU - Zhu, Xiao Xiang
AU - Yin, Waotao
AU - Bamler, Richard
N1 - Publisher Copyright:
© VDE VERLAG GMBH  Berlin  Offenbach.
PY - 2018
Y1 - 2018
N2 - Modern Tomographic SAR is an advanced InSAR techniques for urban mapping, which can not only retrieve 3D spatial information but also assess the 4D temporal information, such as deformation. To retrieve the information from InSAR data, several algorithms have been developed. Among them, SL1MMER algorithms is state of the art. However, it suffers from the computational expenses and it is hard to extend to large scale practice. In this work, we propose a novel optimization algorithms for L1 regularized least square in SL1MMER, which can keep the accuracy of the optimization result and dramatically speed up the processing.
AB - Modern Tomographic SAR is an advanced InSAR techniques for urban mapping, which can not only retrieve 3D spatial information but also assess the 4D temporal information, such as deformation. To retrieve the information from InSAR data, several algorithms have been developed. Among them, SL1MMER algorithms is state of the art. However, it suffers from the computational expenses and it is hard to extend to large scale practice. In this work, we propose a novel optimization algorithms for L1 regularized least square in SL1MMER, which can keep the accuracy of the optimization result and dramatically speed up the processing.
UR - https://www.scopus.com/pages/publications/85050456301
M3 - Conference contribution
AN - SCOPUS:85050456301
T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
SP - 249
EP - 252
BT - EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th European Conference on Synthetic Aperture Radar, EUSAR 2018
Y2 - 4 June 2018 through 7 June 2018
ER -