2013 21st International Conference on Geoinformatics最新文献

{"title":"Remote sensing monitoring of Gulf of Mexico oil spill using ENVISAT ASAR images","authors":"Jianhua Wan, Yangrui Cheng","doi":"10.1109/Geoinformatics.2013.6626165","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626165","url":null,"abstract":"Marine oil spill causes ecological pollutions that result in serious impacts to the quality of marine eco-environment. Effective oil spill detection and monitoring are the basis for the rapid response and play an important role. Due to its all-weather, day and night detection, wide coverage, and real-time monitoring capability, Synthetic Aperture Radar (SAR) is the most applicable sensors for marine oil spill monitoring and detection. Radar detection of target always uses back scattering of its reaction. After the oil spills, oil slicks spread to the sea surface dampen the Bragg waves and reduce radar backscattering coefficients; that is, smooth the sea surface. So oil spills appear as dark areas in the SAR images. The critical part of the oil spill detection is to distinguish oil spills from other natural phenomena. Low wind speed areas, internal waves, biogenic films and so on can lead to this phenomenon, which are called \"look-alikes\". Based on the principle of oil spill detection using SAR images, analysis accomplished over ENVISAT ASAR data gathered in the Gulf of Mexico and related to the Deepwater Horizon oil spill accident, which happened on April 20, 2010, is mentioned in this paper. The main areas of interest related to such disaster are the following: (1) to detect oil spills at sea and (2) analyze changes of oil slicks over the sea. In order to achieve the proposed goal, the method consists of three steps: preprocessing, detection of dark spots and analysis. Firstly, the SAR data are pre-processed, including histogram equalization, geometric correction and speckle filtering. Enhanced Lee filter is used to reduce the speckle noise due to the good capability in noise suppression and edge preserving. Secondly, SAR image classification and oil spill identification are carried out. Because of dark patches in SAR images cause by other natural phenomena, the purpose of the classifier is to distinguish oil spills from look-alikes. So the object-based classification is applied with support vector machine (SVM) owing to a better effect for oil spill identification. Last but not the least, based on the results of oil spill exaction and polluted areas, the development process of Deepwater Horizon oil spill is analyzed, such as the temporal dispersion scope, diffusion and drift of the oil slick. In addition, oil spill area is calculated for area variation tendency. At the early stage of this accident, shapes of oil slicks mainly appear as patches. As time passed by, quite a few parts of oil slicks showed as stripes. Oil slick shape and position were affected by winds, ocean currents and so on. During the middle or later period, a portion of oil slick eroded the coasts of Louisiana, Alabama and Florida. In the early days of the Deepwater Horizon oil spill, the size of oil slicks presented the tendency of increasing as a whole and reached a peak in June. However, after July, areas of oil slicks began to fall. Relevant reports such as weather and plu","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"8 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131614868","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}

{"title":"Design and implementation of tourism information system based on Google Maps API","authors":"Yimeng Wu, Zhixue Liang, Liming Liu","doi":"10.1109/Geoinformatics.2013.6626139","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626139","url":null,"abstract":"Obtaining more accurate information of tourism destinations is the most concerning thing for tourists, especially for self-navigation tourists. This paper proposed a resolution which constructs tourism information system using Google Maps with Web GIS. Based on J2EE platform, adopting technologies of struts2 framework, Google Maps API, Ajax, JSON and so on, an open travel information platform was implemented. Using the platform, tourists can conveniently obtain more references for their travel.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"11 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":"116520202","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}

{"title":"On the impact of granularity of time to linear topological relations between geographical events and their formalization","authors":"Kai Liu, Y. Long, Huimin Yang, Yaochen Qin","doi":"10.1109/Geoinformatics.2013.6626056","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626056","url":null,"abstract":"The time scale is an important element of spatial-temporal data model thatdetermines the level of detail to characterize and describe the geographic information. In spatial-temporal databases, time granularity has a decisive impact on the topological spatial-temporal relationship of geographical objects. In this paper, at first a formal definition of basic elements of time has been put forward. Then based on set theory, the number axes can be divided into three parts according to the number of time of geographical event. Based on the intersection of the sets of two-time elements a formal description of the 9 intersection model of the linear time topological relationships between geographical events has been established. On this basis, the impacts of time granularity to topological relationships of linear time between geographic events also has been discussed with a case study.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"9 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":"128078234","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}

{"title":"A framework and implementation for qualitative geographic information retrieval","authors":"Lei Liu, Yong Gao, Xing Lin, Xiao Guo, Haoran Li","doi":"10.1109/Geoinformatics.2013.6626034","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626034","url":null,"abstract":"Qualitative geographic information retrieval (QGIR) is proposed in this paper. It is semantic matching oriented and based on the qualitative representation. Qualitative reasoning is used to get the relevance between documents and queries. Compared to the traditional geographic information retrieval (GIR), QGIR uses qualitative representation for both themes and place names. Semantic spatial relationships are taken into account. The qualitative representation is closer to human spatial recognition and can handle natural language better. A system is built to verify the qualitative theory and to compare the qualitative method with traditional GIR. The experiment in the mineral filed shows that QGIR can have better searching results and better fulfill people's geographic information retrieval request.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"36 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":"133306180","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}

{"title":"An improved algorithm for vector data rendering in virtual terrain visualization","authors":"Ye Zhi, Yong Gao, Lun Wu, Liang Liu, Heng Cai","doi":"10.1109/Geoinformatics.2013.6626137","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626137","url":null,"abstract":"In recent years, the importance of virtual terrain visualization technology for the digital earth models has been more obvious. Since two-dimensional (2D)vector data still occupy the vast majority of the GIS (Geographic Information System) vector data, the algorithm for vector data rendering in virtual terrain visualization plays a crucial role in the digital earth models. After deeply analyzing the current algorithms, the paper proposes an improved vector data rendering algorithm based on texture. As for the problem of aliasing artifacts, according to the context of rendering scene (e.g. the viewpoint's position), the improved algorithmutilizes the method of the dramatic texture overlay, combining the visualization of the terrain with the vector data selected by the view scene using the method of Render-to-Texture based on DirectX in real-time. And meanwhile the method constructs the mapping table between the vector data and texture to simplify the operation for the highlight selecting and the vector data's querying. After applied in the practical vector data, the improved algorithm is proved that it not only keeps the same advantage as the texture-based method such as fast rendering and easy to control the layer, but also is notconfined by the resolution of the texture without the phenomenon of aliasing artifacts and raises the efficiency in highlight selecting and the vector data attributes' querying.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"41 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":"124458445","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}

{"title":"Analyzing urban population's space-time evolution and characteristics based on cell-phone location data — A case study in Shenzhen, China","authors":"Xianrui Xu, X. Li, Zhongren Peng","doi":"10.1109/Geoinformatics.2013.6626032","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626032","url":null,"abstract":"This paper analyzes characteristics of population distribution and movements of the city of Shenzhen in southern China by using mobile phone position data, and visualizes the distribution and movements of population in Shenzhen. Nowadays, positioning information of calling activity records of cell phones is more and more feasible with popularity of cell phones and development of the cell network. The tremendous advantages of positioning data in massive data samples, real-time and coverage guarantee it can be a significant supplement tool to monitor population dynamics. The experimental results display a vivid visual representation of population distribution and their movements through space and time. This paper's analytical method and results can potentially contribute to a better understanding of the surrounding city and further benefits to urban planning and management.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"17 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":"124858345","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}

{"title":"Research on the key technology of Open GIS based spatial information analysis and publishing — Take the example of the marine oil spilling monitoring information analysis & publishing system","authors":"Nannan Liu, Ruifu Wang, Quanbo Xin, Maojing Xu, Xiangchao Kong","doi":"10.1109/Geoinformatics.2013.6626039","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626039","url":null,"abstract":"With the frequent occurrence of marine oil spills, there is a growing demand for analyzing and publishing oil spill disaster information. It's a trend to research on the Open GIS based spatial information analysis and publishing. This article develops the Marine oil spilling monitoring information analysis & publishing system based on DotSpatial, the upgrade version of the open-source .NET development of component library. In this system, the oil spilling monitoring information is visualized, rendered, analyzed, and finally published to the web. However, open GIS is functionally limited and instable. It can not read the spatial information of RS images well, and the mapping and outputting module is unstable. This article solves some technical problems. For example, the spatial data are processed such as re-projected via GDAL (Geospatial Data Abstraction Library) to match the images layers with the vector layers. Vector oil spots data are generated and rendered, and the major axis and minor axis are drawn. Moreover the map extent to output can be determined by dragging a rectangle by GDI+, and the decorating of the map to putout is also improved. By adopting several developing method comprehensively, this article does research on the system development based on Open GIS platform to provide reference for other similar system researches and developments of spatial information expression and analysis.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"18 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":"125206912","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}

{"title":"Massive image data management using HBase and MapReduce","authors":"Yuehu Liu, Bin Chen, Wenxi He, Yu Fang","doi":"10.1109/Geoinformatics.2013.6626187","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626187","url":null,"abstract":"With the rapid development of remote sensing and computer technologies, remote sensing image data obtained by satellite isincreasing dramatically [1]. The speed has exceeded one TB each day and will obviously increase in the future. How to manage it efficiently becomes a problem because traditional waysare expensive and difficultto extend. Hence, we need a scalable and parallel processing model. HBaseand MapReduce meet the needs naturally. In this paper, we propose a method to store massive image data in HBase, and process it using MapReduce. Experimental results illustrate that the speeds of data importing and data processing increase obviously as the cluster of HBase grows.","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":"131953575","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}

{"title":"Measurement the low-carbon level of residents' daily travel in Zhengzhou city","authors":"Xiaoju Ning, Jinping Zhang, Fengxian Lu, Yaochen Qin, Shuichuan Yang","doi":"10.1109/Geoinformatics.2013.6626142","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626142","url":null,"abstract":"In this paper, we choose almost four hundred households in Zhengzhou city for investigating their daily travel behavior. And combined with the statistical data about the Zhengzhou transportation, we estimated the CO2 emissions of Zhengzhou residents commute and obtained some conclusions: in 2001-2010, the carbon dioxide emissions of Zhengzhou urban residents is growing, and its growth rate is similar to the growth of the private cars of CO2 emissions and the traffic CO2 emissions of per person. The change of CO2 emissions of buses and taxis are quite minimal, whose emissions ratio in the total carbon dioxide emission of residents daily travel is decreasing gradually; the traffic low-carbon standard of Zhengzhou residents is a high-carbon mode due to the low-carbon index, which is greater than 1.2 except in 2005, which for the city residents transport CO2 emissions, the growth rate was much greater than the growth rate of per capita consumption expenditure. The increasing income and the growth of daily commuting distance could induce to more motor vehicles and longer annual mileage. The further optimization in the public transport network not only promotes a small increase in carbon emissions from buses, but also will inhibit the rapid growth of carbon emissions from private cars and optimize the structure of the resident's transportation carbon emissions, which may be an opportunity for the carbon reduction of the residents daily commute.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"258 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":"133758073","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}

{"title":"Emergency cartographic system based on national fundamental geographic data","authors":"Zhijun Zhang, Junwu Qiu, Jiong Li","doi":"10.1109/Geoinformatics.2013.6626067","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2013.6626067","url":null,"abstract":"An emergency cartographic system named CartoEM using fundamental geographic data was proposed with the specifications for cartographic symbols to topographic maps and the existing GIS system and cartography system. The architecture and the data organization of the system were described. Then, some key issues of cartography with the system were investigated, such as cartographic representations, labeling, map-marking, dynamic arrows, and so on. The cartographic system realized the automatic configuration of symbolizing, annotation labeling, and the emergency thematic elements at last.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"33 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":"133837699","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}