中国光学Issue(5)：795-802,8.DOI:10.3788/CO.20130605.0795
红外激光主动成像和识别
Infrared laser active imaging and recognition technology
摘要
Abstract
An experiment platform for laser active imaging and target recognition was built combining a laser active image system and the target recognition technology , and the target recognition after laser active imaging was mainly researched.The feature vector was comprised of seven invariant Hu moments .The BP neural net-work algorithm comprised of 136 weight coefficients was used to study the moving target , a 43 submachine gun model at 450 m from the experiment platform at night , and excellent experiment results were obtained .It shows clear imaging effects by 68.87%of target recognition statistic probability in 2 740 frames of laser active imaging, and the probability of rotation transformation reaches 80.05%.These researches are significant to the detection and recognition of little targets at night .关键词
激光主动成像/红外成像/目标识别/成像距离模型/Hu矩特征量/BP神经网络Key words
laser active imaging/infrared imaging/target recognition/imaging distance model/Hu moment fea-ture vector/BP neural network分类
信息技术与安全科学引用本文复制引用
赵建川,王弟男,陈长青,郭劲..红外激光主动成像和识别[J].中国光学,2013,(5):795-802,8.基金项目
吉林省重大科技攻关专项资金资助项目 （）
