Multi-linear sparse reconstruction for SAR imaging based on higher-order SVD

This paper focuses on the spotlight synthetic aperture radar (SAR) imaging for point scattering targets based on tensor modeling. In a real-world scenario, scatterers usually distribute in the block sparse pattern. Such a distribution feature has been scarcely utilized by the previous studies of SAR...

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Vydané v:	EURASIP journal on advances in signal processing Ročník 2017; číslo 1; s. 1 - 11
Hlavní autori:	Gao, Yu-Fei, Gui, Guan, Cong, Xun-Chao, Yang, Yue, Zou, Yan-Bin, Wan, Qun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 12.06.2017 Springer Springer Nature B.V SpringerOpen
Predmet:	Algorithms Alternating least squares Artificial satellites in remote sensing Complexity Compressed sensing Computer simulation Consumption (Economics) Engineering HOSVD Image reconstruction Kronecker constraint Mathematical models Noise prediction Quantum Information Technology Radar imaging Radar scattering Signal,Image and Speech Processing Singular value decomposition Spintronics Spotlight SAR imaging Synthetic aperture radar HOSVD Alternating least squares Spotlight SAR imaging Kronecker constraint Compressed sensing
ISSN:	1687-6180, 1687-6172, 1687-6180
On-line prístup:	Získať plný text
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