Cog-Net: A Cognitive Network for Fine-Grained Ship Classification and Retrieval in Remote Sensing Images
Author:
Affiliation:
1. Research Institute of information Fusion, PLA Naval Aviation University, Yantai, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10418565.pdf?arnumber=10418565
Reference81 articles.
1. OPD-Net: Prow Detection Based on Feature Enhancement and Improved Regression Model in Optical Remote Sensing Imagery
2. A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines
3. Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs
4. A New Benchmark and an Attribute-Guided Multilevel Feature Representation Network for Fine-Grained Ship Classification in Optical Remote Sensing Images
5. A Public Dataset for Fine-Grained Ship Classification in Optical Remote Sensing Images
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1. DSNet: dual-stream network for fine-grained ship classification in optical remote sensing images;Remote Sensing Letters;2024-07-23
2. A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
3. Research on Multi-Scale CNN and Transformer-Based Multi-Level Multi-Classification Method for Images;IEEE Access;2024
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