Fast Bayesian Compressed Sensing Algorithm via Relevance Vector Machine for LASAR 3D Imaging
Because of the three-dimensional (3D) imaging scene’s sparsity, compressed sensing (CS) algorithms can be used for linear array synthetic aperture radar (LASAR) 3D sparse imaging. CS algorithms usually achieve high-quality sparse imaging at the expense of computational efficiency. To solve this prob...
Main Authors: | Bokun Tian, Xiaoling Zhang, Liang Li, Ling Pu, Liming Pu, Jun Shi, Shunjun Wei |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/9/1751 |
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