3-D Sparse SAR Imaging Based on Complex-Valued Nonconvex Regularization for Scattering Diagnosis
Author:
Affiliation:
1. School of Information and Communication Engineering, North University of China, Taiyuan, China
2. University of Electronic Science and Technology of China, Chengdu, China
3. Chengdu Technological University, Chengdu, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/7727/10419086/10336408.pdf?arnumber=10336408
Reference22 articles.
1. Spherical wave near-field imaging and radar cross-section measurement
2. MIMO Radar Calibration and Imagery for Near-Field Scattering Diagnosis
3. Use of a Plane-Wave Synthesis Technique to Obtain Target RCS From Near-Field Measurements, With Selective Feature Extraction Capability
4. Plane-Wave Synthesis and RCS Extraction via 3-D Linear Array SAR
5. Overview of an image-based technique for predicting far-field radar cross section from near-field measurements
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1. Unsupervised 3-D Array-SAR Imaging Based on Generative Model for Scattering Diagnosis;IEEE Antennas and Wireless Propagation Letters;2024-08
2. Three-Dimensional Array SAR Sparse Imaging Based on Hybrid Regularization;IEEE Sensors Journal;2024-05-15
3. Array SAR 3-D Sparse Imaging Based on Regularization by Denoising Under Few Observed Data;IEEE Transactions on Geoscience and Remote Sensing;2024
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