基于多源信息融合的光电经纬仪自动跟踪技术研究  

Research on Automatic Tracking Technology of Photoelectric Theodolite Based on Multi-source Information Fusion

作　　者：付长亮 那晨旭 FU Changliang;NA Chenxu(No.91913 Troops of PLA,Dalian 116041)

机构地区：[1]91913部队,大连116041

出　　处：《舰船电子工程》2025年第1期186-190,共5页Ship Electronic Engineering

摘　　要：由于海环境下目标暗弱、成像变化、穿云及遮挡等多种因素,光电经纬仪探测目标过程中自动跟踪的稳定度和精准度都受到严重影响,基于这一事实,文章提出了基于知识库场景分析判断的自适应目标检测识别方法。结合光电经纬仪探测器多样、图像源信息多的特点,拟采用D-S证据理论来进行多图像源信息的融合判断,进一步优化目标图像特征融合检测和目标运动特征的融合跟踪,以实现复杂因素干扰下光电经纬仪对目标的高精度稳定自动跟踪,为光电经纬仪在海环境下自动跟踪稳定性研究奠定了基础,具有一定的应用价值和推广价值。Due to many factors such as target weakness,imaging changes,cloud penetration and occlusion,the stability and accuracy of automatic tracking in the process of target detection by photoelectric theodolite are seriously affected.Based on this fact,an adaptive target detection and recognition method based on knowledge base scene inference is proposed in this paper.Combined with the characteristics of multiple detectors and multiple image source information of photoelectric theodolite,D-S evidence theory is proposed to carry out the fusion judgment of multi-image source information,and further optimize the fusion detection of target im⁃age features and the fusion tracking of target motion features,so as to realize the high-precision and stable automatic tracking of the target by photoelectric theodolite under the interference of complex factors.It lays a foundation for the research of automatic tracking stability of photoelectric theodolite under sea,and has certain application value and popularization value.

关 键 词：自动跟踪 目标检测识别 多源信息融合 D-S证据 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TH761.1[自动化与计算机技术—控制科学与工程]