中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共6条,第1-6条 帮助

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Learning Spatio-Temporal Representations With a Dual-Stream 3-D Residual Network for Nondriving Activity Recognition 期刊论文  OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 7, 页码: 7405-7414
作者:  
Yang, Lichao;  Shan, Xiaocai;  Lv, Chen;  Brighton, James;  Zhao, Yifan
  |  收藏  |  浏览/下载:45/0  |  提交时间:2022/07/05
Airborne moving vehicle detection for video surveillance of urban traffic 会议论文  OAI收割
IEEE Intelligent Vehicles Symposium, Xian, PEOPLES R CHINA, JUN 03-05, 2009
作者:  
Lin, Renjun;  Cao, Xianbin;  Xu, Yanwu;  Wu, Changxia;  Qiao, Hong
收藏  |  浏览/下载:18/0  |  提交时间:2017/01/12
几个学习算法及其在星系光谱分类中的应用 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
作者:  
李乡儒
收藏  |  浏览/下载:50/0  |  提交时间:2015/09/02
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.; Ma D.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.  
Automated extraction of drainages in China based on DEM in GIS environment 会议论文  OAI收割
Xu X. L.; Zhuang D. F.; Ieee
收藏  |  浏览/下载:25/0  |  提交时间:2012/06/30
统计和句法方法相结合的指纹特征提取方法的研究 学位论文  OAI收割
工学硕士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2000
武岩
收藏  |  浏览/下载:30/0  |  提交时间:2015/09/02