SAR Ship Target Recognition via Multiscale Feature Attention and Adaptive-Weighed Classifier
Author:
Affiliation:
1. Department of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10077587.pdf?arnumber=10077587
Reference18 articles.
1. When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation
2. OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation
3. Semisupervised Learning-Based SAR ATR via Self-Consistent Augmentation
4. A polarization fusion network with geometric feature embedding for SAR ship classification
5. HOG-ShipCLSNet: A novel deep learning network with hog feature fusion for SAR ship classification;zhang;IEEE Trans Geosci Remote Sens,2021
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