中国科学院机构知识库网格系统: 检索

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	GNSS time offset monitoring based on the single difference among systems 期刊论文 OAI收割 IET RADAR SONAR AND NAVIGATION, 2020, 卷号: 14, 期号: 2, 页码: 299-302 作者: Tu, Rui; Zhang, Pengfei; Zhang, Rui; Fan, Lihong; Liu, Jinhai \| 收藏 \| 浏览/下载：49/0 \| 提交时间：2020/11/09 delays satellite navigation radio receivers Global Positioning System GNSS time single difference time offset monitoring multiple Global Navigation Satellite Systems compatibility interoperability conventional signal space approaches single-point positioning SPP precise point positioning single-difference point positioning SDPP receiver clock parameter common model errors estimated time smooth estimation time offset estimation different stations system biases
	Estimation of Ionospheric Total Electron Content From a Multi-GNSS Station in China 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 2, 页码: 852-860 作者: She, Chengli; Yue, Xinan; Hu, Lianhuan; Zhang, Fengguo \| 收藏 \| 浏览/下载：58/0 \| 提交时间：2020/05/18 Global navigation satellite system Receivers Satellite broadcasting Global Positioning System Satellites Laboratories BeiDou Navigation Satellite System (BDS) differential code biases (DCBs) global navigation satellite system (GNSS) total electron content (TEC)
	Multiple GNSS inter-system biases in precise time transfer 期刊论文 OAI收割 Measurement Science and Technology, 2019, 卷号: 30, 期号: 11 作者: Tu,Rui; Hong,Ju; Zhang,Pengfei; Zhang,Rui; Fan,Lihong \| 收藏 \| 浏览/下载：48/0 \| 提交时间：2021/11/29 global navigation satellite system inter-system biases precise time transfer real-time positioning
	Inter-system biases in GPS and BDS combined relative positioning by double-differenced observations 期刊论文 OAI收割 Measurement Science and Technology, 2019, 卷号: 30, 期号: 8 作者: Liu,Jinhai; Tu,Rui; Han,Junqiang; Zhang,Rui; Zhang,Pengfei \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2021/11/29 GPS BDS GNSS double-differenced observations combined positioning inter-system biases
	Joint estimation of vertical total electron content (VTEC) and satellite differential code biases (SDCBs) using low-cost receivers 期刊论文 OAI收割 JOURNAL OF GEODESY, 2018, 卷号: 92, 期号: 4, 页码: 401-413 作者: Yuan, Yunbin; Li, Min; Zhang, Baocheng; Teunissen, Peter J. G.; Zhang, Hongxing \| 收藏 \| 浏览/下载：70/0 \| 提交时间：2018/12/29 Global navigation satellite system (GNSS) Vertical total electron content (VTEC) Satellite differential code biases (SDCBs) Carrier-to-code leveling (CCL) Precise point positioning (PPP) Thin-layer ionospheric model
	Wireless Sensor Network of Typical Land Surface Parameters and Its Preliminary Applications for Coarse-Resolution Remote Sensing Pixel 期刊论文 OAI收割 International Journal of Distributed Sensor Networks, 2016, 卷号: 2016 作者: Dou, Baocheng; Wen, Jianguang; Li, Xiuhong; Liu, Qiang; Peng, Jingjing 收藏 \| 浏览/下载：71/0 \| 提交时间：2017/04/24 DIRECT SENSOR ORIENTATION LIDAR SYSTEM CALIBRATION STRIPS BIASES
	Improving the ionospheric delay correction of satellite-based augmentation systems in equatorial regions 期刊论文 OAI收割 ADVANCES IN SPACE RESEARCH, 2007, 卷号: 39, 期号: 10, 页码: 1552 Huang, Z; Yuan, H 收藏 \| 浏览/下载：49/0 \| 提交时间：2013/09/17 TOTAL ELECTRON-CONTENT GLOBAL POSITIONING SYSTEM WIDE AREA AUGMENTATION GPS MEASUREMENTS IRI MODEL BIASES
	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：43/0 \| 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.