太赫兹科学与电子信息学报2016，Vol.14Issue(3)：336-339,354,5.DOI:10.11805/TKYDA201603.0336
基于标签重构的弹载毫米波距离像识别算法
Label reconstruction based missile-borne MMW HRRP recognition algorithm
摘要
Abstract
Millimeter wave fuze obtains the detailed structure information by transmitting a wideband signal. However, in the process of non-cooperative detection and recognition, a large number of target samples could not be fully utilized due to the lack of target class information. To this end, Laplacian Score(LS) is extended to Label Reconstruction based Laplacian Score(LRLS) and applied to the case of semi-supervised learning. Under the framework of LS, LRLE utilizes the label reconstruction technique to calculate the Laplacian matrix. In order to better describe the similarity between the high-dimensional samples, the Euclidean distance is replaced with the geodesic distance. The experimental results show that LRLS performs better than the traditional methods.关键词
标签重构/特征选择/拉普拉斯得分/半监督学习Key words
label reconstruction/feature selection/Laplacian Score/semi-supervised learning分类
信息技术与安全科学引用本文复制引用
王剑桥,李跃华,陈建飞..基于标签重构的弹载毫米波距离像识别算法[J].太赫兹科学与电子信息学报,2016,14(3):336-339,354,5.基金项目
国家部委基金资助项目(51305050102) （51305050102）
