A Survey on Deep-Learning-Based Real-Time SAR Ship Detection
Author:
Affiliation:
1. Naval Submarine Academy, Qingdao, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10056955.pdf?arnumber=10056955
Reference180 articles.
1. Light-YOLOv4: An Edge-Device Oriented Target Detection Method for Remote Sensing Images
2. A High-Effective Implementation of Ship Detector for SAR Images
3. A Fast and Lightweight Detection Network for Multi-Scale SAR Ship Detection under Complex Backgrounds
4. A Novel Ship Detection Method in Remote Sensing Images via Effective and Efficient PP-YOLO
5. Light-SAR-ShipNet (LSSNet): A Lightweight SAR Image Ship Detection System with Enhanced Deep Supervision
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