摘要
在舰船搜索中,由于传统舰船搜索技术的搜索效率较低,拉低了海上搜救的整体效率。为此,提出一种在视频监控网络中的舰船搜索关键技术,将渐进式的目标搜索方法应用于舰船搜索中,建立一个以视频监控网络为基础的渐进式搜索框架,利用该框架进行舰船的信息特征匹配,再利用匹配后的舰船信息特征,并通过多层感知机进行相似信息特征的排序,从而实现视频监控网络中的舰船搜索。为了验证该技术的有效性,与基于图像增强的舰船搜索技术、基于生成对抗网络的舰船搜索技术进行对比,得出该技术的整体搜索效率为84.4%。通过比较可知,本文技术搜索效率高于传统技术,证明了该技术的有效性。
In ship search,because the search efficiency of traditional ship search technology is low,which reduces the overall efficiency of marine search and rescue,a key technology of Ship Search in video surveillance network is proposed.The progressive target search method is applied to ship search,and a progressive search framework based on video surveillance network is established.Information feature matching,using the matched ship information features,and sorting similar information features by multi-layer perceptron,can realize ship search in video surveillance network.In order to verify the effectiveness of this technology,compared with image enhancement based ship search technology and generation antagonism network based ship search technology,the overall search efficiency of this technology is 84.4%.By comparison,the search efficiency of this technology is higher than that of traditional technology,which proves the effectiveness of this technology.
作者
高鉴伟
GAO Jian-wei(College of Computer Science and Information Engineering,Anyang Institute of Technology,Anyang 455000,China)
出处
《舰船科学技术》
北大核心
2019年第12期166-168,共3页
Ship Science and Technology
关键词
视频监控网络
舰船搜索
关键技术
video surveillance network
ship search
key technology
