Adaptive Sparse Recovery by Parametric Weighted L$_{1}$ Minimization for ISAR Imaging of Uniformly Rotating Targets-Reference-Cited by-同舟云学术

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Adaptive Sparse Recovery by Parametric Weighted L$_{1}$ Minimization for ISAR Imaging of Uniformly Rotating Targets

Published:2013-04 Issue:2 Volume:6 Page:942-952
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Rao Wei,Li Gang,Wang Xiqin,Xia Xiang-Gen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx5/4609443/6516028/06331021.pdf?arnumber=6331021

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1. Frequency-diverse MIMO metasurface antenna for computational imaging with aperture rotation technique;Frontiers in Materials;2023-01-06

2. A Computational Efficient 2-D Block-Sparse ISAR Imaging Method Based on PCSBL-GAMP-Net;IEEE Transactions on Geoscience and Remote Sensing;2022

3. Optimal Time Selection for ISAR Imaging of Ship Target via Novel Approach of Centerline Extraction With RANSAC Algorithm;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

4. Deep Learning Approach for Sparse Aperture ISAR Imaging and Autofocusing Based on Complex-Valued ADMM-Net;IEEE Sensors Journal;2021-02-01

5. Sparse Subspace Clustering via Two-Step Reweighted L1-Minimization: Algorithm and Provable Neighbor Recovery Rates;IEEE Transactions on Information Theory;2021-02

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