海洋舰船目标红外检测技术研究
Research on infrared detection technology of Marine ship targets
贾春荣 1杨帆 1高建鑫 1沈萌萌 1卓越 1邸志刚1
作者信息
- 1. 华北理工大学电气工程学院,河北唐山 063210
- 折叠
摘要
舰船作为海上交通的核心以及海洋战争中重要的军事目标,其检测和识别在民用及军事领域都具有极其深远的现实意义,但复杂的海洋环境使得舰船目标检测存在诸多困难.红外成像及目标检测在复杂海况下有着优良的适用性,针对当下舰船目标检测需求,概述了舰船目标红外检测技术发展的现状,分析了红外图像预处理方法与基于深度学习的舰船目标检测算法,对比了主流方法的优缺点,最后对研究现状与技术改进做了系统性的归纳梳理,并对其未来发展趋势进行了展望.
Abstract
As the core of maritime transportation and an important military target in maritime warfare,the detec-tion and recognition of ships have extremely profound practical significance in both civilian and military fields.Howev-er,the complex marine environment makes ship target detection difficult.Infrared imaging and target detection have excellent applicability in complex sea conditions.In response to the current demand for ship target detection,this pa-per summarizes the current development status of ship target infrared detection technology,analyzes infrared image pre-processing methods and ship target detection algorithms based on deep learning,compares the advantages and disad-vantages of mainstream methods,and finally systematically summarizes and sorts out the research status and technologi-cal improvements,And prospects for its future development trends were presented.
关键词
红外图像预处理/非均匀性校正/神经网络/舰船目标检测/深度学习Key words
infrared image preprocessing/non-uniformity correction/neural network/ship target detection/deep learning引用本文复制引用
基金项目
河北省教育厅科学技术研究项目(ZD2021332)
华北理工大学培育基金(SP201502)
出版年
2024
NETL
NSTL
万方数据