Target Detection and Recognition in Synthetic Aperture Radar Images Using YOLO Deep Learning Methods-Reference-Cited by-同舟云学术

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Target Detection and Recognition in Synthetic Aperture Radar Images Using YOLO Deep Learning Methods

Published:2023-07-17 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
language:
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Author:

Wu Tzong-Dar¹,Wang Hsuan-Fu²,Hsu Po-Hsun¹,Tiong Kwong-Kau¹,Chang Li-Chi¹,Chang Chia-Hung³

Affiliation:

1. National Taiwan Ocean University,Department of Electrical Engineering,Keelung,Taiwan, R. O. C

2. National Formosa University,Department of Aeronautical Engineering,Yunlin,Taiwan, R. O. C

3. National Yunlin University of Science and Technology,Department of Electrical Engineering,Yunlin,Taiwan, R. O. C

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10226627/10226615/10226736.pdf?arnumber=10226736

Reference6 articles.

1. Ship Detection Based on YOLOv2 for SAR Imagery

2. Ship detection in SAR Image using YOLOv2

3. High-Speed Lightweight Ship Detection Algorithm Based on YOLO-V4 for Three-Channels RGB SAR Image

4. Rapid Ship Detection in SAR Images Based on YOLOv3

5. Ship Detection with Sar Based on Yolo

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