计算机与数字工程2018，Vol.46Issue(4)：818-821,850,5.DOI:10.3969/j.issn.1672-9722.2018.04.038
基于位置先验信息配准和视觉显著性的港口舰船目标检测研究
Study of Extracting Docked Ships Based on SIFT Matching Algorithm and Visual Saliency
摘要
Abstract
In terms of current challenges on docked ships detection,this paper gives a feasible method based on SIFT match-ing algorithm and visual saliency for the ships docked in the port.Firstly,with the invariability of position and the prior information, the ports will be searched and located by SIFT feature in remote sensing image.Secondly,the algorithm of visual saliency will be used for image enhancement to get the better contrast effect between ships and non-ships areas.In the last part,horizontal or verti-cal scanning method is applied to segment the ships based on the docked rules.The experimental results show that it is an effective way.关键词
SIFT特征/视觉显著性/舰船检测Key words
SIFT/visual saliency/ship detection分类
信息技术与安全科学引用本文复制引用
高波,陈忠,刘思思..基于位置先验信息配准和视觉显著性的港口舰船目标检测研究[J].计算机与数字工程,2018,46(4):818-821,850,5.基金项目
宇航智能控制技术国家级重点实验室开放基金(编号:2015KYFR0050)资助. （编号:2015KYFR0050）
