A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR

Titel:: A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Shi, Yilei; Zhu, Xiao Xiang; Yin, Wotao; Bamler, Richard
Stichworte:: L1 regularization, TomoSAR, basis pursuit, denoising (BPDN), second order cone programming (SOCP), proximal gradient (PG), urbanInSAR, peer_review
Zeitschriftentitel:: IEEE Transactions on Geoscience and Remote Sensing
Jahr:: 2018
Monat:: Mai
Volltext / DOI:: doi:10.1109/TGRS.2018.2832721
Verlag / Institution:: IEEE - Institute of Electrical and Electronics Engineers
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