Contrastive Learning for Ship Classification Using Real and Complex SAR Imagery-Reference-Cited by-同舟云学术

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Contrastive Learning for Ship Classification Using Real and Complex SAR Imagery

Published:2023-11-28 Issue: Volume:33 Page:531-538
ISSN:
Container-title:2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
language:
Short-container-title:

Author:

Williams Jerome¹,Yip Ben¹,McCarthy Benjamin¹,Cao Tri-Tan¹,Robles-Kelly Antonio¹

Affiliation:

1. Defence Science and Technology Group,Edinburgh,SA,Australia,5111

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10410651/10410903/10410988.pdf?arnumber=10410988

Reference45 articles.

1. xview3-sar: Detecting dark fishing activity using synthetic aperture radar imagery;Paolo;arXiv:2206.00897v4 [cs.CV],2022

2. Sarfish: A single-look complex orbital synthetic aperture radar dataset for maritime object detection;Cao

3. 2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium;Chandra;US Geological Survey,2020

4. Sentinel-1 level 1 detailed algorithm definition;Piantanida;ESA, techreport SEN-TN-52-7445,2016

5. Dimensionality Reduction by Learning an Invariant Mapping

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