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Document type:
Konferenzbeitrag 
Author(s):
Shi, Yilei; Zhu, Xiao Xiang; Bamler, Richard; Yin, Wotao 
Title:
An efficient algorithm for compressive sensing based SAR tomography 
Abstract:
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 regula...    »
 
Keywords:
Compressive Sensing, SAR tomography, TanDEM-X, SL1MMER, L1 regularization, randomized blockwise proximal gradient, urbanInSAR, peer_review 
Book / Congress title:
EUSAR 2018 
Publisher:
VDE Verlag 
Year:
2018 
Month:
Juni 
Pages:
1--4