Self-Supervised Learning Method for SAR Multiinterference Suppression-Reference-Cited by-同舟云学术

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Self-Supervised Learning Method for SAR Multiinterference Suppression

Published:2023 Issue: Volume:61 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Cen Xi¹^ORCID,Li Yachao¹^ORCID,Han Zhaoyun²^ORCID,Gu Tong³^ORCID,Zhang Peng¹^ORCID,Cai Tianyi⁴^ORCID

Affiliation:

1. National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China

2. Zhongxing Telecom Equipment, Shenzhen, China

3. Hangzhou Institute of Technology, Xidian University, Hangzhou, China

4. Beijing Institute of Remote-Sensing Equipment, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shaanxi Province Funds for Distinguished Young Youths

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10298270.pdf?arnumber=10298270

Reference51 articles.

1. Removal of RFI in wideband radars

2. Passive Remote Sensing and Radio Frequency Interference (RFI): An Overview of Spectrum Allocations and RFI Management Algorithms [Technical Committees]

3. Wideband Interference Suppression for SAR via Instantaneous Frequency Estimation and Regularized Time-Frequency Filtering

4. Apodized RFI filtering of synthetic aperture radar images

5. Frequency allocation challenges for ultra-wideband radars

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