Incorporating Deep Background Prior Into Model-Based Method for Unsupervised Moving Vehicle Detection in Satellite Videos
Author:
Affiliation:
1. College of Electronic Science and Technology, National University of Defense Technology, Changsha, China
2. National Airspace Technology Key Laboratory, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10038733.pdf?arnumber=10038733
Reference52 articles.
1. Plug-and-play image restoration with deep denoiser prior;zhang;IEEE Trans Pattern Anal Mach Intell,2022
2. Integrating Local and Non-local Denoiser Priors for Image Restoration
3. Multiframe Many–Many Point Correspondence for Vehicle Tracking in High Density Wide Area Aerial Videos
4. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
5. Weighted Schatten $p$ -Norm Minimization for Image Denoising and Background Subtraction
Cited by 6 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. BEmST: Multiframe Infrared Small-Dim Target Detection Using Probabilistic Estimation of Sequential Backgrounds;IEEE Transactions on Geoscience and Remote Sensing;2024
2. SatDetX-YOLO: A More Accurate Method for Vehicle Target Detection in Satellite Remote Sensing Imagery;IEEE Access;2024
3. Searching for a needle in a haystack: Small Traffic Sign Detection in Large Images;2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE);2023-11-01
4. Representative Coefficient Total Variation for Efficient Infrared Small Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2023
5. RepISD-Net: Learning Efficient Infrared Small-Target Detection Network via Structural Re-Parameterization;IEEE Transactions on Geoscience and Remote Sensing;2023
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