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Yiliang Wan, Yuwen Fei, Rui Jin, Tao Wu and Xinguang He
The effective extraction of impervious surfaces is critical to monitor their expansion and ensure the sustainable development of cities. Open geographic data can provide a large number of training samples for machine learning methods based on remote-sens...
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Aidi Li, Zhijie Xu, Jianqin Zhang, Taizeng Li, Xinyue Cheng and Chaonan Hu
With the rapid growth of trajectory big data, there is a need for more efficient methods to extract, analyze, and visualize these data. However, existing research on trajectory big data visualization mainly focuses on displaying trajectories for a specif...
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Ying Sun, Yuefeng Lu, Ziqi Ding, Qiao Wen, Jing Li, Yanru Liu and Kaizhong Yao
Most commonly used road-based homonymous entity matching algorithms are only applicable to the same scale, and are weak in recognizing the one-to-many and many-to-many types that are common in matching at different scales. This paper explores model match...
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Zebang Liu, Luo Chen, Anran Yang, Mengyu Ma and Jingzhi Cao
In the big data era, rapid visualization of large-scale vector data has become a serious challenge in Geographic Information Science (GIS). To fill the gap, we propose HiIndex, a spatial index that enables real-time and interactive visualization of large...
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Joseph Amikuzuno
AbstractUnavailability of high frequency weekly or daily data compels most studies of price transmission in developing countries to use low frequency monthly data for their analyses. Analysing price dynamics, especially in agricultural markets, with mont...
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Zhi Tang, Yun Zhang, Jing Huang, Hao He and Yue Ding
There is undoubtedly a groundswell of support for the concept of geographic data sharing with the rapid development and wide-ranging application of geographic information science. However, copyright protection and infringement detection in the process of...
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Ganlin Wang and Jing Chen
Visualizing vector data on 3D terrain surfaces is a basic and essential function in 3D GIS. However, due to the complexity of vector data structures, efficient and effective organization of the vector data is a key issue for the efficient display of vect...
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Dongge Liu, Tao Wang, Xiaojuan Li, Yeqing Ni, Yanping Li and Zhao Jin
Vector data compression can significantly improve efficiency of geospatial data management, visualization and data transmission over internet. Existing compression methods are either based on information theory for lossless compression mainly or based on...
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Jui-Chuan Liu, Heng-Xiao Chi, Ching-Chun Chang and Chin-Chen Chang
Information has been uploaded and downloaded through the Internet, day in and day out, ever since we immersed ourselves in the Internet. Data security has become an area demanding high attention, and one of the most efficient techniques for protecting da...
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Pietros André Balbino dos Santos, Felipe Schwerz, Luiz Gonsaga de Carvalho, Victor Buono da Silva Baptista, Diego Bedin Marin, Gabriel Araújo e Silva Ferraz, Giuseppe Rossi, Leonardo Conti and Gianluca Bambi
Reference evapotranspiration (ET0) is one important agrometeorological parameter for hydrological studies and climate risk zoning. ET0 calculation by the FAO Penman?Monteith method requires several input data. However, the availability of climate data ha...
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Teresa Gonçalves, Rute Veladas, Hua Yang, Renata Vieira, Paulo Quaresma, Paulo Infante, Cátia Sousa Pinto, João Oliveira, Maria Cortes Ferreira, Jéssica Morais, Ana Raquel Pereira, Nuno Fernandes and Carolina Gonçalves
This paper presents an analysis of the calls made to the Portuguese National Health Contact Center (SNS24) during a three years period. The final goal was to develop a system to help nurse attendants select the appropriate clinical pathway (from 59 optio...
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P.V. Kumaraguru, Vidyavathi Kamalakkannan, Gururaj H L, Francesco Flammini, Badria Sulaiman Alfurhood and Rajesh Natarajan
Terabytes of data are now being handled by an increasing number of apps, and rapid user decision-making is hampered by data analysis. At the same time, there is a rise in interest in big data analysis for social networks at the moment. Thus, adopting dis...
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Yinguo Qiu, Jiuyun Sun and Jiaojue Zheng
The existing digital watermarking schemes for vector maps focus mainly on the process of watermark embedding, while few works have been conducted on the topic of the self-optimization of watermark data in the process of watermark detection. There is thus...
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Yijun Chen, Shenxin Zhao, Lihua Zhang and Qi Zhou
Ocean Island data are essential to the conservation and management of islands and coastal ecosystems, and have also been adopted by the United Nations as a sustainable development goal (SDG 14). Currently, two categories of island datasets, i.e., global ...
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Simone Castelli and Andrea Belleri
In recent years, structural health monitoring, starting from accelerometric data, is a method which has become widely adopted. Among the available techniques, machine learning is one of the most innovative and promising, supported by the continuously inc...
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Marius Marinescu, Alberto Olivares, Ernesto Staffetti and Junzi Sun
This work addresses the problem of vertical wind profile online estimation at a given location. Specifically, the north and east components of the wind are continuously estimated as functions of time and altitude at two waypoints used for landing on the ...
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Oluwole John Famoriji and Thokozani Shongwe
To obtain an antenna array with isotropic radiation, a spherical antenna array (SAA) is the correct array configuration. The knowledge of the direction-of-arrival (DoA) of an incoming signal by the receiving antenna is used to localize the locations of a...
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Minho Choi and Jae Jin Jeong
Support vector machines (SVMs) utilize hyper-parameters for classification. Model selection (MS) is an essential step in the construction of the SVM classifier as it involves the identification of the appropriate parameters. Several selection criteria ha...
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Shiwei Shao, Mengting Yu, Yimin Huang, Yiheng Wang, Jing Tian and Chang Ren
In this study, we investigate the urban landscape patterns in Wuhan, China based on the land use data in the vector format. Using the approach of landscape metric analysis, we calculate forty-four vector-based landscape metrics and then reduce redundant ...
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Chengyi Qu, Xu Xi, Jinglong Du and Tong Wu
Traditional frequency-domain watermarking algorithms for vector geographic data suffer from disadvantages such as the random watermark embedding position, unpredictable embedding strength, and difficulty in resisting multiple attacks at the same time. To...
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