Airborne Forward-Looking Radar Super-Resolution Imaging Using Iterative Adaptive Approach-Reference-Cited by-同舟云学术

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Airborne Forward-Looking Radar Super-Resolution Imaging Using Iterative Adaptive Approach

Published:2019-07 Issue:7 Volume:12 Page:2044-2054
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:

Zhang Yongchao^ORCID,Mao Deqing^ORCID,Zhang Qian^ORCID,Zhang Yin^ORCID,Huang Yulin,Yang Jianyu

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Collaborative Innovation Center of Information Sensing and Understanding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/8789745/08738819.pdf?arnumber=8738819

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1. A fast forward-looking super-resolution imaging method on a high-speed platform;Measurement Science and Technology;2024-09-05

2. Super-resolution Imaging Method for Forward-looking Scanning Radar Based on Two-layer Bayesian Model;2024 IEEE Radar Conference (RadarConf24);2024-05-06

3. Airborne forward‐looking radar imaging approach via modified propagator method in planar phased array;IET Radar, Sonar & Navigation;2024-02-27

4. Scanning Radar Forward-Looking Imaging Under High-Speed Platform by Accurate Profile-Phase Deconvolution Method;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Blind Focusing for Computational Microwave Imaging With Metasurface Aperture Based on Sparse Bayesian Learning;IEEE Transactions on Geoscience and Remote Sensing;2024

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