2018 26th International Conference on Geoinformatics最新文献

{"title":"The Suitability Analysis of Urban Construction Space Expansion Based on the Evaluation of Resources and Environment Carrying Capacity in Rapid Urbanization Region of China","authors":"Y. Lei, Yang Kun","doi":"10.1109/GEOINFORMATICS.2018.8557066","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557066","url":null,"abstract":"In order to find out suitability degree of the Resources and Environment Carrying Capacity (RECC) and the development of urbanization in rapid urbanization region of China, taking the Chenggong district of Kunming as an example, from the perspective of affecting the future urban space expansion, this paper selects 15 indexes from social economy, resource carrying and environment carrying, using Analytic Hierarchy Process (AHP) to determine the weight of indexes, and building a comprehensive evaluation model of the RECC based on the State Space Method with the support of GIS, carrying on the quantitative calculation, grade classification, space allocation, comprehensive evaluation and the suitability analysis of the construction space expansion for the rapid urbanization region based on the evaluation results of the RECC. The results show that overall capacity of resources and environment in the study area is currently in a loadable state, but from the view of every township, the comprehensive RECC of the 10 townships in the study area presents a large spatial difference, in which Dounan already belongs to the overloaded state. The actual comprehensive value (RCC‘) of Luolong and Dayu is 0.72 and 0.70 respectively, which are close to the ideal comprehensive value (RCC) of 0.73. And the RECC is already at the maximum loading edge. While, the other seven townships are in a loadable condition. Furthermore, from the view of the suitability of urbanization space expansion in the future based on the current RECC, the suitable space for construction of the study area is mainly distribute in the three townships of Qidian, Wujiaying and Majinpu, but the suitability expansion space of the other seven townships are limited relatively. The results of the study showed that the spatial heterogeneity of urban construction space expansion under the constraints of the RECC, which can provide scientific evidence and empirical reference for the theory and practice of the optimization of urban space development pattern.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115442365","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":"Interactive 3D Building Modeling and Semantic Labeling from VGI Image Data","authors":"G. Kong, H. Fan","doi":"10.1109/GEOINFORMATICS.2018.8557125","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557125","url":null,"abstract":"3D buildings in LoD3 (with façade objects) with semantic information are of great importance for many applications. In this paper, an interactive approach is proposed for 3D building models in LoD3 by using VGI image data. Similar to JSOM, an interactive platform is developed to acquire a façade model with detailed geometries and semantics. Techniques of feature extraction are incorporated in the software, so that a façade can be modeled by only sketching the boundary of the façade and one or two façade objects from one VGI image. The feedbacks of the current Beta version depict that the software is user friendly and can generate 3D façade while labelling façade objects by very few interactive input.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127581393","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 Coupled Co-Occurrence Matrix/Multi-Scale Segmentation Method to Extract Water from High Resolution Remote Sensing Image","authors":"Xiao Liang, Wenying Hu","doi":"10.1109/GEOINFORMATICS.2018.8557177","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557177","url":null,"abstract":"This study developed a coupled co-occurrence matrix/multi-scale segmentation method to improve extraction precision of water from high-resolution remote sensing images. Two images of Kunming city (subject A & B) were obtained from Quick Bird image gallery, pre-processed by co-occurrence matrix, and then multi-scale segmented based on inherent geometrical and geographical attributes. Water encompassed by the ring roads of the city was extracted via object-oriented information analysis with successfully removal of all shadows. Results showed that water extraction precisions had significantly increased for both subject A (68.6% → 95.2%) and B (63.0% → 92.3%), indicating superior performance of the proposed method in extracting water from complex urban environment.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123528537","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":"Construction and Application of an Automatic Document Generation Model","authors":"Lin Mi, Chuanrong Li, Peng Du, Jiajia Zhu, Xinfang Yuan, Ziyang Li","doi":"10.1109/GEOINFORMATICS.2018.8557127","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557127","url":null,"abstract":"To solve the problem of low efficiency, frequently occurred mistakes, and the necessity of manual query and record in the compilation of data-gather documents in enterprises, a mathematic model to automatically generate document was built by integrating application of Visual Basic for Application(VBA), ActiveX Data Object (ADO) and Extensible Markup Language (XML). By classifying and analyzing the basic data types of the document, making the configuration file storage rules, customizing the document templates, and applying the automatic document generation algorithm to translate the document template into data-gathering documents with specific date. This model has been applied in a satellite platform task document automatic generation system, and it is proved that the model was feasible and effective by application practice.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122760556","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":"Generative Adversarial Network for Deblurring of Remote Sensing Image","authors":"Yungang Zhang, Yu Xiang, Lei Bai","doi":"10.1109/GEOINFORMATICS.2018.8557110","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557110","url":null,"abstract":"Deblurring is a classical problem for remote sensing images, which is known to be difficult as an ill-posed problem. A feasible solution for the problem is incorporating various priors into restoration procedure as constrained conditions. However, the learning of priors usually assumes that the blurs in an image are produced by fixed types of reasons, and thus a possible decrease in model's description ability. In this paper, an end-to-end learned method based on generative adversarial networks (GANs) is proposed to tackle the deblurring problem for remote sensing images. The proposed deblurring model does not need any prior assumptions for the blurs. The proposed method was evaluated on a satellite map image data set and state-of-the-art performance was obtained.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124644747","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":"Committees of “2018 26th International Conference on Geoinformatics”","authors":"Honorary Chairmen, Guanhua Xu, Chih-Hong Sun, D. Guo, Qinghua Guo","doi":"10.1109/geoinformatics.2018.8557194","DOIUrl":"https://doi.org/10.1109/geoinformatics.2018.8557194","url":null,"abstract":"Committees of “2018 26th International Conference on Geoinformatics”","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129887639","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 Emergency and Evacuation System Based on Baidu Map API","authors":"Mengyun Liu, Jiaxue Wang, Jiasheng Wang, G. Tang, Mengzhu Sun","doi":"10.1109/GEOINFORMATICS.2018.8557128","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557128","url":null,"abstract":"Emergency evacuation of dangerous goods explosion relate to how to reduce casualties directly. Based on the Baidu Map API, this paper designed and worked an emergency evacuation system, which is point at the emergency evacuation explosion accident of dangerous goods. The system based on the information of chemical company in Binhai District in Tianjin City, adopts the B/S framework and uses IIS to publish websites. and also combined many technologies, such as the jQuery framework, AJAX, database and so on. The system has six functions, which are map view, map operation, location query, hazard source query, explosion effect simulation and the analysis of evacuation route.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130961359","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":"The Life Satisfaction of Consumption-Led Tourism Migrants","authors":"Hongxian Zhang, Qingsheng Yang","doi":"10.1109/GEOINFORMATICS.2018.8557069","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557069","url":null,"abstract":"Consumption-Ied tourism migration refers to the phenomenon that relatively affluent people travel to certain places and live there for some time, in pursuit of better quality of life. The long duration of consumption-led migrants at the destination stimulates local economy and many destinations treat it as a strategy for economic growth. Therefore, the promotion of life satisfaction (LS) of these migrants is crucial for local sustainable development. The document aims to explore whether the consumption-led tourism migrants are satisfied with their life in the destination. With 552 usable samples collected in Sanya, China, the LS of these migrants in terms of socio-culture, shopping, leisure, medical conditions and transportation are measured. The results indicate that migrants are not satisfied with their material and spiritual life in the destination although they appreciate local physical settings. In particular, migrants show least dissatisfaction with local medical conditions. The research also reveals that the dissatisfaction variances exist among different educational and economic migrant groups. Furtherly, the relationship between education level and economic conditions and LS is more complicated rather than linear. The paper also discusses possible reasons for migrants' dissatisfaction and for the complex variances. Current study has much implication for current destination supply-side reform in China, and it helps to find strategies for the integration of migrants into the receiving society.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134395960","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":"Hotspots Trends and Spatio-Temporal Distributions for an Investigative in the Field of Chinese Educational Technology","authors":"Yantao Han, Ru Zhang, Yang Yang","doi":"10.1109/GEOINFORMATICS.2018.8557196","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557196","url":null,"abstract":"In this article we retrieve 11, 653 authoritative journal papers in the field of domestic educational technology from 2008 to 2018, and used Citespace5 to analyze the keywords, authors, and institutions of the sample literatures. Analyzing the hot issues and trends in the research of educational technology by the frequency of keywords, intermediate center and prominence. Analyzing the authors' collaboration knowledge map and the h-index to obtain a high-impact author distribution and cooperation in the field of education technology. Using the author's institutional information to analyze the temporal and spatial distributions of researches in the field of domestic education technology from the regional level. The analysis shows the following six hot issues in the field of education technology in recent years. “MOOC” and “big data analysis” have become the hottest research trends in the field; the scholars in the fields are not closely linked, the authors of high influence are relatively stable, and few core teams form a complete cooperation model; the academic development difference between the domestic regions is relatively large, the national research cooperation network is low in density and geographically concentrated. Based on the above issues, the article gives a corresponding summary and reflections, with a view to providing reference for the development of research in the field of education technology.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":" 1249","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113946467","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":"Congestion Detection and Distribution Pattern Analysis Based on Spatiotemporal Density Clustering","authors":"Wenting Xu, K. Qin, Yulong Wang","doi":"10.1109/GEOINFORMATICS.2018.8557046","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557046","url":null,"abstract":"Urban congestion has multiple hazards to city transportation, safety and environment. Researches on urban congestion are conducive to prompting traffic management, assisting in urban planning, and ensuring the harmonious development of cities. This study proposed an improved spatiotemporal DBSCAN approach aiming to investigate the spatiotemporal distribution and variation pattern of traffic congestion from GNSS taxi trajectory data and applied on Wuhan, China. Firstly, low-speed trajectory sequences are extracted from taxi trajectories. Secondly, resorting to the idea of similarity and dissimilarity, we propose a new method of measuring the time distance and spatial distance between trajectories to extend traditional DBSCAN algorithm to spatiotemporal DBSCAN algorithm. Afterwards, congestion-prone areas in Wuhan are detected by the proposed method and DBSCAN method respectively. Finally, through the analysis and contrast of the congestion distribution on holiday, weekend, and weekday in multi-scale (time-series scale and date scale), we obtain the potential spatiotemporal distribution pattern of urban congestion in Wuhan.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"53 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114032213","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}