测绘科学技术学报2017，Vol.34Issue(6)：602-606,5.DOI:10.3969/j.issn.1673-6338.2017.06.011
尺度分层多阈值结合SVM分类的热红外舰船识别
Recognition of Thermal Infrared Ships Targets Based on Scale Hierarchical Multi-Threshold and SVM Classification
马兰 1姜挺 2江刚武1
作者信息
- 1. 信息工程大学,河南郑州450001
- 2. 国防科技大学国际关系学院,江苏南京210039
- 折叠
摘要
Abstract
A method for detecting ship targets that combines improved scale hierarchical multi-threshold and SVM sample learning is proposed due to incomplete and many false alarm targets for the approach of hierarchical multithreshold detection based on scale-adaptive selection.First of all,initial detection was conducted on the basis of improved scale-adaptive selection and hierarchical multi-threshold.Then the features of ship targets and an optimal combination of classification features were generated from sample learning.Finally,ship targets were detected through classification based on SVM sample learning.The results of the experiment show this method reduces time consumption of the detection than that of the single sample classification and this method can achieve the effective elimination of false targets in the case of the low contrast between the target and the background of the offshore ship targets.This method is capable of more stable and efficient recognition to ship targets parked in jetty type wharf.关键词
热红外/舰船目标/支持向量机/分层多阈值/目标检测Key words
thermal infrared/ship targets/SVM/hierarchical multi-threshold/target detection分类
天文与地球科学引用本文复制引用
马兰,姜挺,江刚武..尺度分层多阈值结合SVM分类的热红外舰船识别[J].测绘科学技术学报,2017,34(6):602-606,5.
