CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging

The regularization-based approaches offer promise in improving synthetic aperture radar (SAR) imaging quality while reducing system complexity. However, the widely applied <inline-formula> <tex-math notation="LaTeX">\ell _{1} </tex-math></inline-formula> regularizat...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník 35; číslo 4; s. 5588 - 5602
Hlavní autoři:	Wang, Mou, Wei, Shunjun, Zhou, Zichen, Shi, Jun, Zhang, Xiaoling, Guo, Yongxin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	3-D synthetic aperture radar (SAR) imaging Algorithms Complexity Complexity theory Cost function deep unfolding Echoes fast iterative shrinkage-thresholding algorithm (FISTA) Holography Image reconstruction Imaging Imaging techniques millimeter wave (mmW) Neural networks Operators (mathematics) Optimization models proximal mapping Radar imaging Radar polarimetry Regularization SAR (radar) Sensors Synthetic aperture radar Topology total variation (TV) Training
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
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