A novel sarnede method for real-time ship detection from synthetic aperture radar image
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12243-1.pdf
Reference34 articles.
1. Alswayed AS, Alhichri HS, Bazi Y (2020) Squeezenet with attention for remote sensing scene classification. In: 2020 3Rd international conference on computer applications & information security (ICCAIS), IEEE, pp 1–4
2. Bao W, Huang M, Zhang Y, Xu Y, Liu X, Xiang X (2021) Boosting ship detection in sar images with complementary pretraining techniques. arXiv:2103.08251
3. Chang YL, Anagaw A, Chang L, Wang YC, Hsiao CY, Lee WH (2019) Ship detection based on yolov2 for sar imagery. Remote Sens 11(7):786
4. Chollet F (2017) Xception: Deep learning with depthwise separable convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1251–1258
5. Collobert R, Weston J (2008) A unified architecture for natural language processing: Deep neural networks with multitask learning. In: Proceedings of the 25th international conference on Machine learning, pp 160–167
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. DDM-CGAN: a modified conditional generative adversarial network for SAR target image generation;Multimedia Tools and Applications;2024-03-01
2. SAR ship detection network based on global context and multi-scale feature enhancement;Signal, Image and Video Processing;2024-01-21
3. Lightweight SAR Ship Detection Network Based on Transformer and Feature Enhancement;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. Research on Small Sample Ship Target Detection Based on SAR Image;Lecture Notes in Electrical Engineering;2024
5. ViT-DexiNet: a vision transformer-based edge detection operator for small object detection in SAR images;International Journal of Remote Sensing;2023-11-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3