SSS-YOLO: towards more accurate detection for small ships in SAR image
Author:
Affiliation:
1. Nanjing Research Institute of Electronics Technology, Nanjing, China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2020.1837988
Reference19 articles.
1. A Deep Neural Network Based on an Attention Mechanism for SAR Ship Detection in Multiscale and Complex Scenarios
2. Ship Identification and Characterization in Sentinel-1 SAR Images with Multi-Task Deep Learning
3. Deep Residual Learning for Image Recognition
4. A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection
5. A modified faster R-CNN based on CFAR algorithm for SAR ship detection
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