摘要
水面无人艇是利用自动化控制技术开发的一种新型舰船类型,它能够代替传统舰船执行海洋探测、敌方舰船侦察等相对危险的任务,目前在军事领域和科研领域有广泛应用。为了提高水面无人艇的导航能力,本文提出一种雷达可视图像轮廓的特征提取系统。该系统能够提取无人艇雷达图像轮廓的特征点、特征线等元素,从而实现水面无人艇的精确导航。
Surface unmanned warship is a new type of warship developed by using automatic control technology.It can replace the traditional warship to carry out relatively dangerous tasks such as ocean exploration,enemy ship reconnaissance,and so on.At present,it is widely used in military and scientific research fields.In order to improve the navigation ability of surface unmanned warship,this paper introduces a feature extraction system of radar visual image contour,which can extract the feature points,feature lines and other elements of radar image contour of unmanned warship,so as to realize the precise navigation of surface unmanned warship.This paper focuses on the feature extraction algorithm and implementation process of radar image.
作者
李玮琦
LI Wei-qi(Dazhou Vocational and Technical College,Public Service Administration Department,Dazhou 635001,China)
出处
《舰船科学技术》
北大核心
2020年第18期22-24,共3页
Ship Science and Technology
关键词
雷达图像
特征点提取
无人艇
导航
radar image
feature point extraction
unmanned ship
navigation
