西安电子科技大学学报（自然科学版）Issue(2)：13-19,7.DOI:10.3969/j.issn.1001-2400.2015.02.003
整数矩阵变换的选择集成及对雷达目标的识别
Selective ensemble based on the integer matrix linear transformation and its application to radar target recognition
摘要
Abstract
Diversity among individuals and accuracy of individuals are two important factors to decide the ensemble generalization error,whereas enhancing diversity is at the cost of decreasing the accuracy of individuals.Hence,in order to improve the performance of radar target recognition classified by a single classifier,this paper introduces a new radar target recognition method based on the integer matrix linear transformation selective classifier ensemble that considers the balance of diversity and accuracy.Firstly,in order to enhance the diversity,the individual classifiers are considered as original targets of the linear transformation,and instead of the mean value of samples,the true labels are considered to construct an integer matrix.By projecting individual classifiers on the lines through the true labels,a set of new classifiers is obtained based on the proj ect transformation.Secondly,according to two rules that measuring the performance of the classifier,the accuracy rate and RPF-measure,some new classifiers that can obtain better performance are selected to ensemble for increasing the accuracy of classifiers of an ensemble. Finally,the performance of radar target recognition is improved by combining the selected new classifiers. Experimental results of UCI datasets and the radar range profile indicate that the proposed method balances effectively diversity and accuracy,and that it can obtain better performance for radar target recognition compared with single classifier algorithms and other methods.关键词
分类器集成/选择性集成/雷达目标识别Key words
classifier ensemble/selective ensemble/radar target recognition分类
信息技术与安全科学引用本文复制引用
熊霖,焦李成,毛莎莎..整数矩阵变换的选择集成及对雷达目标的识别[J].西安电子科技大学学报（自然科学版）,2015,(2):13-19,7.基金项目
国家重点基础研究发展计划资助项目(2013CB329402) （2013CB329402）
国家自然科学基金资助项目(61003198,61072106,61173092) （61003198,61072106,61173092）
高等学校学科创新引智计划(111计划)资助项目(B07048) （111计划）
