Fast Fourier-Domain Optimization Using Hybrid L1−/L${}_{p}$ -Norm for Autofocus in Airborne SAR Imaging-Reference-Cited by-同舟云学术

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Fast Fourier-Domain Optimization Using Hybrid L1−/L${}_{p}$ -Norm for Autofocus in Airborne SAR Imaging

Published:2019-10 Issue:10 Volume:57 Page:7934-7954
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Kim Jin-Woo^ORCID,Kim Young-Dam^ORCID,Yeo Tae-Dong,Khang Seung-Tae^ORCID,Yu Jong-Won^ORCID

Funder

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/8848888/08755312.pdf?arnumber=8755312

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-Channel Airborne SAR Imaging of Ground Moving Targets on Perturbed Platform;IEEE Transactions on Geoscience and Remote Sensing;2023

2. Phase Synchronization Techniques for Bistatic and Multistatic Synthetic Aperture Radar: Accounting for frequency offset;IEEE Geoscience and Remote Sensing Magazine;2022-09

3. AFnet and PAFnet: Fast and Accurate SAR Autofocus Based on Deep Learning;IEEE Transactions on Geoscience and Remote Sensing;2022

4. Motion Compensation Algorithm Based on Entropy-Minimization for Terahertz SAR;2021 14th UK-Europe-China Workshop on Millimetre-Waves and Terahertz Technologies (UCMMT);2021-09-13

5. Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning Machine;Remote Sensing;2021-07-07

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