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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     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 Guide Star Selection for the Three-FOV Daytime Star Sensor 期刊论文 Sensors, 2019, 卷号: 19, 期号: 6, 页码: 16 作者:  L.Wu;  Q.Xu;  H.J.Wang;  H.W.Lyu;  K.P.Li 收藏  |  浏览/下载：1/0  |  提交时间：2020/08/24 star sensor,guide star selection,three-FOV,daytime,SWIR,trackers,attitude,Chemistry,Engineering,Instruments & Instrumentation   基于最小损失函数的三视场天文定位定向关键技术研究 学位论文 博士: 中国科学院大学, 2015 作者:  吴量 收藏  |  浏览/下载：55/0  |  提交时间：2015/11/30 天文导航  定位定向  星图识别  误差分析  三视场   Guide star selection for star pattern recognition between three FOVs 期刊论文 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2015, 卷号: 23, 期号: 6, 页码: 1732-1741 作者:  Wu, L.;  J.-L. Wang and H.-J. Wang 收藏  |  浏览/下载：16/0  |  提交时间：2016/08/24 Robust control of quadrotor MAV using self-organizing interval type-II fuzzy neural networks (SOIT-IIFNNs) controller 期刊论文 International Journal of Intelligent Computing and Cybernetics, 2011, 卷号: 4, 期号: 3, 页码: 397-412 Chen X.; Li D.; Xu Z.; Bai Y. 收藏  |  浏览/下载：11/0  |  提交时间：2013/03/27 Handwritten character recognition based on 13-point feature of skeleton and self-organizing competition network (EI CONFERENCE) 会议论文 2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010, May 11, 2010 - May 12, 2010, Changsha, China Zhong C.; Ding Y.; Fu J. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 This article is about the recognition for handwritten characters. Firstly  we use some conventional methods to preprocess the images and introduce the 13-point feature of skeleton method to extract the data that containing feature of the handwritten character. Secondly  we use the data to train the self-organizing competition network. In the end  we test the net and conclude that this method has a good performance at handwritten character recognition. 2010 IEEE.   An intelligent method for early design and decision of space payload (EI CONFERENCE) 会议论文 2010 1st IEEE International Conference on Progress in Informatics and Computing, PIC 2010, December 10, 2010 - December 12, 2010, Shanghai, China Wen M.; Han C.-S. 收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25 This paper is concerned with the design and decision method of space payload in the early design phase. The objective is to develop a generalized intelligent framework to assist designers in designing space payload. A multi-level method is introduced  which is based on the combination of case-based reasoning (CBR)  multicriteria rough sets theory (MRST) and kernel-based self-organizing maps (KSOM). The first is CBR module  which aims to help designers to obtain some similar cases of the new situation. The second is MRST module  which can extract the decision rules of configuration seletion. The third is KSOM module  which can reduce the variable range and design space of the space payload. The results demonstrate the effectiveness of the proposed design method. 2010 IEEE.   A method of aircraft image target recognition based on modified PCA features and SVM (EI CONFERENCE) 会议论文 9th International Conference on Electronic Measurement and Instruments, ICEMI 2009, August 16, 2009 - August 19, 2009, Beijing, China Donghe W.; Xin H.; Wei Z.; Huilong Y. 收藏  |  浏览/下载：22/0  |  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: Dimensionality reduction and Classifier. After pretreatment on original features a self-organizing neural network trained with the Hebbian rule is used to extract the principal component features. Then a classifier based on Directed Acyclic Graph Support Vector Machines(DAGSVM) is adopted to recognize more than two types of aircraft targets. The experiment results show the proposed method achieves better subset features and higher recognition rate. 2009 IEEE.