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He X.-Z.,National Engineering Research Center for Geographic Information System | He X.-Z.,Development Research Center | Xiang Y.-C.,Development Research Center | Wang Y.-G.,Development Research Center | And 3 more authors.
Geology in China | Year: 2015

Global geological mineral database involves different sources, multiple storage formats, lots of languages and different scales, and hence the quality of data is the key to the capability of information service for the society. During the database construction, project group compiles a standard document, establishes a quality control mechanism, programs a quality check software and forms a new data quality control pattern. This paper focuses on the quality control mechanism of database construction, the data quality content and the method of quality inspection technology. Source

Su G.,National Engineering Research Center for Geographic Information System | Su G.,CAS Qingdao Institute of Oceanology | Lin F.,CAS Qingdao Institute of Oceanology | He S.,CAS Qingdao Institute of Oceanology | Sun J.,CAS Qingdao Institute of Oceanology
International Conference on Geoinformatics | Year: 2016

In order to improve display effect and analysis and decision ability of marine geology information, the Marine Geology 3D Geographic Information System is established based on Skyline software and Visual studio.NET development platform. It is a WebGIS application platform, builds submarine 3D scene by using the satellite image and marine geology survey data, provides 3D scene roaming, attribute query, submarine terrain browsing, sea level rise simulation, coastline change simulation, mineral resources evaluation and other functions, provides service for marine geology survey, development, management, and decision making. This paper mainly introduces the design of system framework, data preparation, and function realization for the purpose of discussing the design and realization of 3D WebGIS based on Skyline. © 2015 IEEE. Source

Yanmei L.,Design Science | Yuda C.,National Engineering Research Center for Geographic Information System
Proceedings - 2015 8th International Symposium on Computational Intelligence and Design, ISCID 2015 | Year: 2016

Micro-blog sentiment analysis aims to find user's attitude and opinion of hot events. Most of studies have used SVM, CRF and other traditional algorithms, which based on manual tagging of a lot of emotional characteristics, but paid a high price. To improve this situation, further studied deep learning and Micro-blog sentiment analysis, and proposed a new technical solution. It firstly crawled some data from Micro-blog through crawler, then after corpus pretreatment, as the input sample of Convolutional Neural Network, and built the classifier based on SVM/RNN, finally judged the emotional orientation of each sentence in a given test set. Verified by examples, experimental results show that this solution can effectively improve the accuracy of emotional orientation, validation result is ideal. © 2015 IEEE. Source

He X.-Z.,National Engineering Research Center for Geographic Information System | He X.-Z.,Wuhan University
International Conference on Geoinformatics | Year: 2016

After analog and digital mapping, it is now heading towards information-based map production era. How to provide high-quality, real time Geo-information products and diversified services has become the highlight in the information-based mapping stage. This paper elaborates on database-driven map production technical, a delta-based map products dynamic update solution, in order to provide new guidelines and new methods for product updating under the information-based mapping system. These technical guidelines have already been successfully applied to the national 1 50 000 topographical map production. © 2015 IEEE. Source

Chen G.,Wuhan University | Chen G.,National Engineering Research Center for Geographic Information System | Zeng A.,Zhengzhou University | Zeng A.,State Key Laboratory of Geographic Information Engineering | And 4 more authors.
Solid Earth | Year: 2016

To establish the horizontal crustal movement velocity field of the Chinese mainland, a Hardy multi-quadric fitting model and collocation are usually used. However, the kernel function, nodes, and smoothing factor are difficult to determine in the Hardy function interpolation. Furthermore, the covariance function of the stochastic signal must be carefully constructed in the collocation model, which is not trivial. In this paper, a new combined estimation method for establishing the velocity field, based on collocation and multi-quadric equation interpolation, is presented. The crustal movement estimation simultaneously takes into consideration an Euler vector as the crustal movement trend and the local distortions as the stochastic signals, and a kernel function of the multi-quadric fitting model substitutes for the covariance function of collocation. The velocities of a set of 1070 reference stations were obtained from the Crustal Movement Observation Network of China, and the corresponding velocity field was established using the new combined estimation method. A total of 85 reference stations were used as checkpoints, and the precision in the north and east component was 1.25 and 0.80mmyr-1, respectively. The result obtained by the new method corresponds with the collocation method and multi-quadric interpolation without requiring the covariance equation for the signals. © Author(s) 2016. Source

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