Ship Detection Based on Faster R-CNN Using Range-Compressed Airborne Radar Data
Author:
Affiliation:
1. Radar Concepts Department, German Aerospace Center (DLR), Oberpfaffenhofen, Microwaves and Radar Institute, Weßling, Germany
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/09984160.pdf?arnumber=9984160
Reference17 articles.
1. Very-High-Resolution Airborne Synthetic Aperture Radar Imaging: Signal Processing and Applications
2. Deep Residual Learning for Image Recognition
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4. Current status of DLR’s new F-SAR sensor;reigber;Proc 8th Eur Conf Synth Aperture Radar (EUSAR),2010
5. Ship Detection in Range-Compressed SAR Data
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