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2013 21st International Conference on Geoinformatics最新文献

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Research on a coal mine virtual system using Unreal Engine 基于虚幻引擎的煤矿虚拟系统研究
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626154
Yuanchen Li, Mei Li, Pingyi Liu
{"title":"Research on a coal mine virtual system using Unreal Engine","authors":"Yuanchen Li, Mei Li, Pingyi Liu","doi":"10.1109/Geoinformatics.2013.6626154","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626154","url":null,"abstract":"Virtual Mine System (VMS) can promote the productivity, efficiency, and safety in modern coal mines. In this paper, we used Unreal Engine, a mature and reliable game development toolset, as well as optimized technology of BSP (Binary Space Partitioning) and Static Meshes combined with real world data in order to establish a prototype of VMS. This system, which has been used in Dongtan Coal Mines, has high efficiency and quality of 3D visualization for both over ground and underground scenes.Dongtan Coal Mines,has3D visualizationoverground scenes.underground scenes.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127335766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Combining “top-down” and “bottom-up” decision making behaviors to simulate urban sprawl using multi-agent system 结合 "自上而下 "和 "自下而上 "的决策行为，利用多代理系统模拟城市无序扩张问题
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626022
Honghui Zhang, Xiaobin Jin, Liping Wang, Yinkang Zhou
{"title":"Combining “top-down” and “bottom-up” decision making behaviors to simulate urban sprawl using multi-agent system","authors":"Honghui Zhang, Xiaobin Jin, Liping Wang, Yinkang Zhou","doi":"10.1109/Geoinformatics.2013.6626022","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626022","url":null,"abstract":"In view of multi-agent system's ability to simulate complex spatial system, from the view of combining “top-down” and “bottom-up” decision-making behaviors, a spatiotemporal dynamical urban sprawl simulation model using multi-agent system was developed. In the model, “top-down” macro land use planning behaviors implemented by macro agents and “bottom-up” micro land use spatial appeal behaviors autonomously originated by micro agents interacted by two-dimensional spatial grid, and jointly promoted urbanization process of study area through joint decision-making. The simulation results show that combining “top-down” and “bottom-up” decision-making behaviors to simulate spatiotemporal dynamical urban sprawl model using multi-agent system can give full play to the potential of multi-agent system to understand the driving mechanism of urbanization and provide decision-making support for urban management.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126879025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
An extensible soil productive potentialities assessment management system based on the MEF 基于MEF的可扩展土壤生产潜力评价管理系统
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626126
Lin Li, Jiaying Chen, Haitao Zhang, Xuefei Li, Peihong Fu
{"title":"An extensible soil productive potentialities assessment management system based on the MEF","authors":"Lin Li, Jiaying Chen, Haitao Zhang, Xuefei Li, Peihong Fu","doi":"10.1109/Geoinformatics.2013.6626126","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626126","url":null,"abstract":"In recent decades, Geographic Information System (GIS) has developed rapidly and has been integrated into all walks of our life. With the changes of people's needs, only some old GIS software could not meet the needs of the market[1]. To meet the growing needs, the GIS secondary development came into being. A large number of experts and scholars began to study it by using computer technology. Many kinds of GIS secondary developed software have emerged in an endless stream. Most of them used component development techniques for efficient seamless system integration and plug-in development techniques for improving maintainability of code. But these two developed mechanisms have some problems[2-6]. This paper introduces the design and the implementation of a Soil Potentialities Assessment System that is compatible with GIS, which uses the Managed Extensibility Framework (MEF) library to solve some of the shortcomings of the old GIS software development methods and to build up an extensible structure to adapt to the changes of system requirements.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128067415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Probe into the application of geographic information system to scenic area planning 地理信息系统在风景名胜区规划中的应用探讨
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626030
Ming Fang, Ci-fang Wu, Xiaoqiang Shen, Zongzheng Liang, Genxin Song, Zhangwei Lu
{"title":"Probe into the application of geographic information system to scenic area planning","authors":"Ming Fang, Ci-fang Wu, Xiaoqiang Shen, Zongzheng Liang, Genxin Song, Zhangwei Lu","doi":"10.1109/Geoinformatics.2013.6626030","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626030","url":null,"abstract":"With economic development and social progress, geographic information science is playing a more and more important role in tourism development. Many spatial analysis methods have been used in planning and design of scenic development programs. In this paper, the application of geographic information systems is illustrated from three perspectives. DEM model, Voronoi diagram and Space syntax are used to help achieve suitable land use, rational scenic spots layout, and traffic systems, with which tourist split-flow may be attainable. This study enriches tourism planning methods, which may make tourism planning more scientific and operable.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123533380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The preliminary research on the multidimensional poor information spatial processing and measuring 多维不良信息空间处理与测量的初步研究
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626042
Lin Dong, Zhuowei Hu
{"title":"The preliminary research on the multidimensional poor information spatial processing and measuring","authors":"Lin Dong, Zhuowei Hu","doi":"10.1109/Geoinformatics.2013.6626042","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626042","url":null,"abstract":"Poverty is an important country to solve the livelihood problems. Poverty identification is mainly based on a single income standard. Sen's poverty thinking that poverty is determined by a number of dimensions. Main source of data in the 2000 census in the years 1949-2005 Lan national economic statistics Lan county neighborhood population, the use of multidimensional poverty theory, using the inverse distance weighted interpolation(IDW), the Multidimensional poverty spatial processing of information, research Lan county River Township, East towns and counties, the Lan towns townships multidimensional Poverty level, the weighting factors of each dimension of poverty measurement considering the three dimensions of poverty, and poverty grading classification of thematic mapping. The result shows that: single income dimension of poverty and multidimensional analysis of the extent of poverty is different, and more accurately identify the extent of poverty of the multidimensional.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130397997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spectral unmixing using sparse and smooth nonnegative matrix factorization 利用稀疏光滑非负矩阵分解进行光谱解混
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626115
Changyuan Wu, Chaomin Shen
{"title":"Spectral unmixing using sparse and smooth nonnegative matrix factorization","authors":"Changyuan Wu, Chaomin Shen","doi":"10.1109/Geoinformatics.2013.6626115","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626115","url":null,"abstract":"Hyperspectral unmixing is a process to extract the endmembers and corresponding abundances from hyperspectral data. In this paper, we propose a new unmixing model based on nonnegative matrix factorization. The sparseness and smoothness properties of the abundances matrix are also taken into account. Particularly, the sparseness property is formulated by a parabolic function, and the smoothness property is expressed by the total variation norm. Furthermore, in order to verify the validity of our model, we conduct some experiments on the Cuprite data, and compare our model with some outstanding methods. The results demonstrate that our method is remarkable.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129976179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Classification of building structures on high spatial resolution satellite image for mapping the readiness to hurricane hazards, Cancun and Chetumal, Mexico 基于高空间分辨率卫星图像的建筑结构分类，用于绘制对飓风灾害的准备情况，墨西哥坎昆和切图马尔
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626086
T. Tang, E. Montes, Maundud Omar, E. Snyder, Aaron Boci
{"title":"Classification of building structures on high spatial resolution satellite image for mapping the readiness to hurricane hazards, Cancun and Chetumal, Mexico","authors":"T. Tang, E. Montes, Maundud Omar, E. Snyder, Aaron Boci","doi":"10.1109/Geoinformatics.2013.6626086","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626086","url":null,"abstract":"This research analyzes the spatial clusters of low quality building structures in Cancun and Chetumal, Mexico applying high spatial resolution satellite images. The objective of this research is to visualize the vulnerable areas of building structures in the two cities, in hopes of helping for the planning the disaster management and mitigating damages during a hurricane event. Five categories of classification schemes were established for five major building structures quality criteria. Combining field sampling and maximum likelihood image pixel clustering testing, the results show that property and human life loss during a hurricane event are likely strongly associated with building structure quality and design. Low quality of building materials with poor design, in particular the self-built houses of low income families encounter much higher risk.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128388444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Study for the carbon emission influencing factors of Henan province based on LMDI model 基于LMDI模型的河南省碳排放影响因素研究
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626186
Xi Wang, Yaochen Qin, Xiangya Jiang, Yanfang Sun
{"title":"Study for the carbon emission influencing factors of Henan province based on LMDI model","authors":"Xi Wang, Yaochen Qin, Xiangya Jiang, Yanfang Sun","doi":"10.1109/Geoinformatics.2013.6626186","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626186","url":null,"abstract":"Carbon emissions are the most direct and effective indicators to measure the level of low-carbon economy development. The influencing factors of carbon emissions can be decomposed into carbon emissions intensity effects, industrial structure effects, economic development effects, and population growth effects. This study based on the LMDI model, the factors which affected the carbon emissions changes of Henan province, was decomposed from 1990 to 2010. The results show that it is still at a relatively high carbon development stage in Henan Province, the pressure to realize low-carbon development is comparatively large. The direction and strength of the carbon emissions influencing factors were relatively largely different and in continuous dynamic changes. On the whole, the economic development is the main factor to promote the growth of carbon emissions and has contributed the most to the carbon emissions growth; Population growth also played a certain role in promoting the growth of carbon emissions, but is relatively limited. Carbon emission intensity changes are the main factors that inhibit the growth of carbon emissions and play the most significant role in reducing carbon emissions. The adjustment of industrial structure has limited effects on carbon emissions. It is the most effective way to realize low-carbon development, such as changing the energy structure, improving the industrial structure, and thereby reducing the carbon emissions.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"10 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125741420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The evaluation and research on Chinese ancient passes as tourist resources — A case study of the ancient passes in Shanxi Province 中国古山口旅游资源评价与研究——以山西省古山口为例
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626083
Shaohua Wang
{"title":"The evaluation and research on Chinese ancient passes as tourist resources — A case study of the ancient passes in Shanxi Province","authors":"Shaohua Wang","doi":"10.1109/Geoinformatics.2013.6626083","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626083","url":null,"abstract":"The proper protection and utilization of ancient passes in a scientific way are based on the objective evaluation of their comprehensive values. With the data obtained through field researches and interviews with experts, the ancient passes tourist resources of Shanxi Province are analyzed and evaluated by adopting the analytic hierarchy process (AHP) and establishing a fuzzy mathematics comprehensive evaluation model. Thus, the decision-making references for further integrated development and utilization of the ancient passes are providedin this document.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132125307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of land cover changes of Nanjing by remotely sensed data 基于遥感数据的南京市土地覆盖变化分析
2013 21st International Conference on Geoinformatics Pub Date : 2013-06-20 DOI: 10.1109/Geoinformatics.2013.6626178
Xinhui Li, Xiuying Zhang, Y. Wang, Xiaomin Zhang
{"title":"Analysis of land cover changes of Nanjing by remotely sensed data","authors":"Xinhui Li, Xiuying Zhang, Y. Wang, Xiaomin Zhang","doi":"10.1109/Geoinformatics.2013.6626178","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626178","url":null,"abstract":"In this paper, land use/cover change (LUCC) from 2000 to 2010 in the region of Nanjing is studied, based on Landsat TM remotely sensed images in 2000, 2005, and 2010. The results showed that: from 2000 to 2005 and from 2005 to 2010, the area of construction land increased by 404.15 km<sup>2</sup> and 635.36 km<sup>2</sup>, respectively. The farm land decreased by 105.49km<sup>2</sup> and 210.7 km<sup>2</sup>, respectively during the two periods. The forest land decreased by 307.87 km<sup>2</sup> and 71.79 km<sup>2</sup>. Water area increased by 10.54 km<sup>2</sup> from 2000 to 2005, and then decreased by 355 km<sup>2</sup> from 2005 to 2010.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114910074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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