Interference Type Recognition in Spaceborne SARs Image Based on Deep CNN Model
Author:
Affiliation:
1. Northwestern Polytechnical University,Xi’an,China,710072
2. Shanghai Institute of Satellite Engineering,Shanghai,China,201109
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10265282/10265283/10265657.pdf?arnumber=10265657
Reference6 articles.
1. Observation and Mitigation of Mutual RFI Between SAR Satellites: A Case Study Between Chinese GaoFen-3 and European Sentinel-1A
2. SAR Image Active Interference Type Recognition Based on Deep CNN Model;chen;Journal of Radars,2022
3. LEO to GEO-SAR Interferences: Modelling and Performance Evaluation
4. Automatic RFI Identification for Sentinel-1 Based on Siamese-Type Deep CNN Using Repeat-Pass Images
5. A Review of Synthetic Aperture Radar Interference Technique;li;Journal of Radars,2020
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