计算机与数字工程Issue(7)：1207-1211,5.DOI:10.3969/j.issn1672-9722.2015.07.011
基于图像处理的舰船目标识别研究
Research on Ship Recognition with Image Processing
宿勇1
作者信息
- 1. 北京西三环中路 19号 北京 100071
- 折叠
摘要
Abstract
To detect and recognize battlefield's targets on the sea reliably ,in this paper a ship target multi‐feature fu‐sion recognition method based on D‐S(Dempster‐Shafer Theory) is proposed .The method comprises three main parts :First‐ly ,it establishes the D‐S fusion recognition model ,that uses geometric features and shape features of ship targets as evidence sources .These features are simple ,easy to access and in ship target recognition with fine discrimination .Secondly ,for ship features ,BBA of each feature can be got .Thirdly ,according to the characteristics of the ship target recognition model ,it an‐alyzes the robustness of different PCR (Proportional Conflict Redistribution) rules and uses a more robust to fuse the BBA of each evidence .In recognition of ship targets ,this method has high recognition accuracy .关键词
舰船识别/信息融合/D-S 理论Key words
ship recognition/information fusion/D-S theory分类
信息技术与安全科学引用本文复制引用
宿勇..基于图像处理的舰船目标识别研究[J].计算机与数字工程,2015,(7):1207-1211,5.
