西安电子科技大学学报（自然科学版）2016，Vol.43Issue(4)：5-9,5.DOI:10.3969/j.issn.1001-2400.2016.04.002
姿态图像缺失情况下的SAR目标识别
SAR image target recognition in lack of pose images
摘要
Abstract
The performance of synthetic aperture radar (SAR) image target recognition depends on the diversity of pose images in the training set . The problem of lack of pose images is considered , and the method of training data augmented with the synthesized pose images is introduced to train the classifier for target identification . Inspired by the sparse representation model , the model for synthesizing pose images is also developed , which approximately construct the missing pose image by linearly combining several images available . Experimental results on the moving and stationary target acquisition and recognition ( MSTAR ) dataset show that the proposed method of pose images synthesis can increase the recognition accuracy effectively . In particular , significant improvement can be obtained in the case of serious lack of pose images .关键词
合成孔径雷达图像目标识别/姿态图像缺失/稀疏表示Key words
synthetic aperture radar ( SAR ) image target recognition/lack of pose images/sparse representation分类
信息技术与安全科学引用本文复制引用
丁军,刘宏伟,陈渤,王英华..姿态图像缺失情况下的SAR目标识别[J].西安电子科技大学学报（自然科学版）,2016,43(4):5-9,5.基金项目
国家自然科学基金资助项目（61372132，61201292）；新世纪优秀人才支持计划资助项目（NCET-13-0945）；青年千人计划资助项目 （）
