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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Bibliographic Details
Published in:	IEEE transaction on neural networks and learning systems Vol. 35; no. 4; pp. 5588 - 5602
Main Authors:	Wang, Mou, Wei, Shunjun, Zhou, Zichen, Shi, Jun, Zhang, Xiaoling, Guo, Yongxin
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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