Traditional Synthetic Aperture Processing Assisted GAN-Like Network for Multichannel Radar Forward-Looking Superresolution Imaging

Author:

Li Wenchao1ORCID,Wang Ziwen1ORCID,Chen Rui1ORCID,Li Zhongyu1ORCID,Wu Junjie1ORCID,Yang Jianyu1ORCID

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Provincial Natural Science Foundation General Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 9 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. Grating Lobe Suppression of Multichannel Forward-Looking SAR Based on Self-Supervised Contrastive Learning;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Modified Sparse Bayesian Learning-Based Multichannel Radar Forward Looking Imaging;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. An Improved Fusion Scheme for Multichannel Radar Forward-Looking Imaging;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Multiple Snapshot Forward-Looking Superresolution Imaging of Coprime Array Radar;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Raw Data Simulation Under Undulating Terrain for Bistatic SAR With Arbitrary Configuration;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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