3-D SAR Imaging via Perceptual Learning Framework With Adaptive Sparse Prior

Mathematically, 3-D synthetic aperture radar (SAR) imaging is a typical inverse problem, which, by nature, can be solved by applying the theory of sparse signal recovery. However, many reconstruction algorithms are constructed by exploring the inherent sparsity of imaging space, which may cause unsa...

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Bibliographic Details
Published in:	IEEE transactions on geoscience and remote sensing Vol. 61; pp. 1 - 16
Main Authors:	Wang, Mou, Wei, Shunjun, Shi, Jun, Zhang, Xiaoling, Guo, Yongxin
Format:	Journal Article
Language:	English
Published:	New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023
Subjects:	Algorithms Artificial neural networks Computer applications Echoes Feature extraction Image reconstruction Imaging techniques Inverse problems Iterative methods Learning Mathematical analysis Neural networks Operators (mathematics) Radar imaging Regularization SAR (radar) Signal reconstruction Synthetic aperture radar Visual perception
ISSN:	0196-2892, 1558-0644
Online Access:	Get full text
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