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浏览/检索结果: 共1条，第1-1条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A new method of target recognition based on rough set and support vector machine (EI CONFERENCE) 会议论文 2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010, Xiamen, China Guo Z.-J.; He X.; Wei Z.-H.; Liang G.-L. 收藏  |  浏览/下载：12/0  |  提交时间：2013/03/25 Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine  a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership  so that some samples can be chosen by class membership to be trained. After pre-treatment  an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate. 2010 IEEE.