国防科技大学学报2012，Vol.34Issue(1)：100-106,7.
基于时频原子分解的地雷目标特征提取及分类
Feature extraction and classification of landmine based on time-frequency atom decomposition
摘要
Abstract
It is important in military field to detect landmine using vehicle-mounted ultra band ground penetrating radar, which has the capability to detect landmines over large area. The extraction of steady features has been the crucial factor in the practical use of ultra-band ground penetrating radar. In light of this, a new feature extraction and classification method was proposed based on the time-frequency atom decomposition. The method extracted the two-dimension time-frequency image based on four-dimension scatter function. After analyzing the character of time-frequency image, the time-frequency atoms were used to decompose the one-dimension range profile of landmine. Several time-frequency atoms which could describe the time-frequency character of landmine were sent to hierarchy classifier as features. It was proved by real data that the method was applicable to vehicle-mounted ultra band ground penetrating radar. Compared with the conventional feature extraction algorithms based on time or frequency field, the proposed method can extract steadier feature and improve the performance of landmine detection effectively.关键词
时频变换/特征提取/原子字典/地雷探测Key words
time-frequency transformation/ feature extraction/ dictionary of atoms/ landmine detection分类
信息技术与安全科学引用本文复制引用
施云飞,宋千,金添,周智敏..基于时频原子分解的地雷目标特征提取及分类[J].国防科技大学学报,2012,34(1):100-106,7.基金项目
国家自然科学基金资助项目(60972121) （60972121）
全国优秀博士学位论文作者专项资金资助项目(201046) （201046）
新世纪优秀人才支持计划资助项目(NCET-10-0895) （NCET-10-0895）
高等学校博士学科点专项科研基金资助课题(20094307120004) （20094307120004）
