基于深度学习的舰船目标检测技术综述

Survey of Ship Detection Technology Based on Deep Learning

精确检测与打击舰船目标能够提升武器装备作战效能,是精确制导武器研制的重要方向之一。针对复杂背景下的舰船目标检测需求,总结了基于深度学习的舰船目标检测技术发展现状,对目前采用的检测算法及适用性做了系统性的归纳梳理,整理了常用遥感与合成孔径雷达成像舰船目标数据集,介绍了深度学习在舰船目标检测领域的应用;分析了现有算法存在的不足并提出相应改进思路,同时对舰船目标检测技术未来的研究趋势进行了展望。

Accurate detection and attack of ship target can improve the combat effectiveness of weaponry,which is one of the important issues in the research of precision guided weapons.Aiming at the requirements of ship detection in complex background,this paper studied the research status of ship detection technology based on deep learning,systematically made a summary of the current detection algorithms and applicability.The commonly used optical remote sensing image datasets and synthetic aperture radar image datasets of ship target were sorted out.This article introduced the application of deep learning in the field of ship detectionemphatically.The shortcomings of the existing ship detection algorithms were analyzed,and the corresponding improvement ideas were put forward.The future research trend of ship detection technology was prospected in the meantime.