中国科学院机构知识库网格系统: 检索

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	A full-disk image standardization of the chromosphere observation at Huairou Solar Observing Station 期刊论文 OAI收割 ADVANCES IN SPACE RESEARCH, 2020, 卷号: 65, 期号: 3, 页码: 1054-1061 作者: Suo, Liu \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/09/26 Chromosphere Data standardization Physical parameters Big data
	DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging 期刊论文 OAI收割 NEUROINFORMATICS, 2016, 卷号: 14, 期号: 3, 页码: 339-351 作者: Yan, Chao-Gan; Wang, Xin-Di; Zuo, Xi-Nian; Zang, Yu-Feng 收藏 \| 浏览/下载：252/0 \| 提交时间：2016/08/08 Data processing Quality control Resting-state fMRI Standardization Statistical analysis
	Standardization of massive data from various telescopes at Xinglong Observatory 期刊论文 OAI收割 NEW ASTRONOMY, 2013, 卷号: 21, 页码: 33-39 作者: Lin, Qin; Lu, Xiaomeng; Jiang, Xiaojun 收藏 \| 浏览/下载：11/0 \| 提交时间：2016/11/17 Astronomical data Metadata Standardization Data management
	Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes 期刊论文 OAI收割 NEUROIMAGE, 2013, 卷号: 80, 页码: 246-262 作者: Yan, Chao-Gan; Craddock, R. Cameron; Zuo, Xi-Nian; Zang, Yu-Feng; Milham, Michael P. 收藏 \| 浏览/下载：65/0 \| 提交时间：2015/05/19 Functional connectomics Standardization Test-retest reliability Resting-state fMRI Data aggregation
	Satellite sensor data analysis of urban surface temperatures and land use / land cover 会议论文 OAI收割 2nd International Conference on Information Science and Engineering, ICISE, Hangzhou, China, 2010 Wang; Shanshan1; Chen; Xi1; Bao; An-Ming1; Kurban; Alishir1 收藏 \| 浏览/下载：25/0 \| 提交时间：2011/08/23 Geographic information systems - Information science - Land use - Landforms - Population statistics - Remote sensing - Standardization - Surface measurement - Surface properties - 20th century - Land cover - Land surface - Land surface temperature - Land use and land cover change - Land use/cover change - Rapid population growth - Remote sensing and GIS - Satellite sensor data - Urban air - Urban development - Urban growth - Urban growth patterns - Urban surface temperature - Urbanization impact - Urumqi introduction
	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.
	Data standardization for the chinese resources and environment remote sensing database 会议论文 OAI收割 Igarss 2004: Ieee International Geoscience and Remote Sensing Symposium Proceedings, Vols 1-7: Science for Society: Exploring and Managing a Changing Planet, New York Guo, S; Guan, YN 收藏 \| 浏览/下载：12/0 \| 提交时间：2014/12/07 data Standardization database remote sensing resources and environment Chinese