An Improved Oriented Ship Detection Method in High-resolution SAR Image Based on YOLOv5-Reference-Cited by-同舟云学术

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An Improved Oriented Ship Detection Method in High-resolution SAR Image Based on YOLOv5

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:2022 Photonics & Electromagnetics Research Symposium (PIERS)
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Author:

Sun Zhongzhen¹,Lei Yu¹,Leng Xiangguang¹,Xiong Boli¹,Ji Kefeng¹

Affiliation:

1. National University of Defense Technology,College of Electronic Science and Technology,Changsha,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9792619/9792583/09792943.pdf?arnumber=9792943

Reference17 articles.

1. You Only Look Once: Unified, Real-Time Object Detection

2. YOLO9000: Better, faster, stronger;redmon;Proc IEEE Conf Comput Vis Pattern Recognit,2017

3. YOLOv3: An incremental improvement;redmon;Proc IEEE Conf Comput Vis Pattern Recognit,2018

4. YOLOv4: Optimal speed and accuracy of object detection;bochkovskiy;Proc IEEE Conf Comput Vis Pattern Recognit,2020

5. On the arbitrary-oriented object detection: classification based approaches revisited;yang;Proc IEEE Conf Comput Vis Pattern Recognit,2020

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An enhanced object detection network for ship target detection in SAR images;The Journal of Supercomputing;2024-04-27

2. A Fast Facet-Based SAR Imaging Model and Target Detection Based on YOLOv5 with CBAM and Another Detection Head;Electronics;2023-09-26

3. YOLOv5 Model-based Ship Detection in High Resolution SAR Images;2023 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT);2023-07-14

4. Instance segmentation ship detection based on improved Yolov7 using complex background SAR images;Frontiers in Marine Science;2023-05-01

5. Ship Detection in Remote Sensing Imagery for Arbitrarily Oriented Object Detection;ICT Analysis and Applications;2023

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