Due to the lack of a unified and comprehensive description of the dynamic disaster process monitoring, it is a great challenge to quickly and effectively share and discover more linked information resources in sensor web for the improvement of decision-making efficiency. A sensor web resource ontology for the dynamic disaster process monitoring was proposed in this paper, which can focus on the characteristics of the observation resources for diverse applications during different monitoring processes. To verify the feasibility of the method, case studies were conducted, including the semantic modeling of the in-situ monitoring and the remote sensing monitoring for flood disaster processes. The results demonstrated the effective sharing of various observation resources with different processes for environmental monitoring.
{"title":"SWRO-DDPM: A Sensor Web Resource Ontology for the Dynamic Disaster Process Monitoring","authors":"Nengcheng Chen, Yingbing Liu, Chao Wang, Chang Xiong, Zeqiang Chen, C. Xiao","doi":"10.1109/GEOINFORMATICS.2018.8557157","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557157","url":null,"abstract":"Due to the lack of a unified and comprehensive description of the dynamic disaster process monitoring, it is a great challenge to quickly and effectively share and discover more linked information resources in sensor web for the improvement of decision-making efficiency. A sensor web resource ontology for the dynamic disaster process monitoring was proposed in this paper, which can focus on the characteristics of the observation resources for diverse applications during different monitoring processes. To verify the feasibility of the method, case studies were conducted, including the semantic modeling of the in-situ monitoring and the remote sensing monitoring for flood disaster processes. The results demonstrated the effective sharing of various observation resources with different processes for environmental monitoring.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"31 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":"132394002","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557099
Junxiang Zhu, Peng Wang, Xiangyu Wang
Building Information Modelling (BIM) could provide detailed 3D building models to Geographic Information Systems (GISs) for the emerging studies in smart cities/digital cities. During information exchange, Industry Foundation Classes (IFC) containing rich building information is the most used data format in BIM. However, GIS does not the capacity to directly consume the data in IFC due to data incompatibility between the two systems. Consequently, IFC files have to be transformed into a format that is accessible to GIS. Shapefile is one of them, given its popularity in geospatial science. This study tests the different formats and methods for transforming IFC to shapefile, assesses their performance, in order to offer a ranking, from which better decisions could be made when choosing an appropriate intermediate data format. The results show direct transformation from IFC to shapefile retained the most geometry and semantic information. If the direct transformation method does not work in some cases, 3DS, VRML, or SKP could be used as alternatives to retain most of the information, while DWG, DXF, KML, and KMZ should not be considered due to their poor performance in the test.
建筑信息模型(BIM)可以为地理信息系统(gis)提供详细的三维建筑模型，用于智能城市/数字城市的新兴研究。在信息交换过程中，包含丰富建筑信息的IFC (Industry Foundation Classes)是BIM中使用最多的数据格式。然而，由于两个系统之间的数据不兼容，GIS不具备直接使用IFC数据的能力。因此，国际金融公司的文件必须转换成地理信息系统可以使用的格式。Shapefile就是其中之一，因为它在地理空间科学中很受欢迎。本研究测试了将IFC转换为shapefile的不同格式和方法，评估了它们的性能，以便提供一个排名，以便在选择适当的中间数据格式时做出更好的决策。结果表明，从IFC到shapefile的直接转换保留了最多的几何和语义信息。如果直接转换方法在某些情况下不起作用，可以使用3DS, VRML或SKP作为替代方法来保留大部分信息，而DWG, DXF, KML和KMZ由于在测试中的性能较差而不应考虑。
{"title":"An Assessment of Paths for Transforming IFC to Shapefile for Integration of BIM and GIS","authors":"Junxiang Zhu, Peng Wang, Xiangyu Wang","doi":"10.1109/GEOINFORMATICS.2018.8557099","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557099","url":null,"abstract":"Building Information Modelling (BIM) could provide detailed 3D building models to Geographic Information Systems (GISs) for the emerging studies in smart cities/digital cities. During information exchange, Industry Foundation Classes (IFC) containing rich building information is the most used data format in BIM. However, GIS does not the capacity to directly consume the data in IFC due to data incompatibility between the two systems. Consequently, IFC files have to be transformed into a format that is accessible to GIS. Shapefile is one of them, given its popularity in geospatial science. This study tests the different formats and methods for transforming IFC to shapefile, assesses their performance, in order to offer a ranking, from which better decisions could be made when choosing an appropriate intermediate data format. The results show direct transformation from IFC to shapefile retained the most geometry and semantic information. If the direct transformation method does not work in some cases, 3DS, VRML, or SKP could be used as alternatives to retain most of the information, while DWG, DXF, KML, and KMZ should not be considered due to their poor performance in the test.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"89 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":"130408125","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557088
Yi Yan, Tao Cheng
Rock tunnel is a kind of large-scale infrastructure with long-term investment cycle and complex technologies, involving a number of participants. Aiming at a large number of hydrogeological data in the project, establishing a standard description of unified information and sharing mechanism can effectively solve the problem of serious data loss and low information utilization rate. At present, rock tunnels are lack of unified standards for hydrogeological data. This paper takes the Laoying tunnel of Yunnan Province as the background to design a rock tunnel hydrogeological information model. The purpose is to unify the storage and transmission of data and solve the problem of file format incompatibility between different softwares in tunnel engineering. In addition, this paper proposes a new groundwater table estimation method, which has higher accuracy than the traditional method of using borehole data to interpolate, and thus can further optimize the hydrogeological information model.
{"title":"Design of Hydrogeological Information Model for Rock Tunnel","authors":"Yi Yan, Tao Cheng","doi":"10.1109/GEOINFORMATICS.2018.8557088","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557088","url":null,"abstract":"Rock tunnel is a kind of large-scale infrastructure with long-term investment cycle and complex technologies, involving a number of participants. Aiming at a large number of hydrogeological data in the project, establishing a standard description of unified information and sharing mechanism can effectively solve the problem of serious data loss and low information utilization rate. At present, rock tunnels are lack of unified standards for hydrogeological data. This paper takes the Laoying tunnel of Yunnan Province as the background to design a rock tunnel hydrogeological information model. The purpose is to unify the storage and transmission of data and solve the problem of file format incompatibility between different softwares in tunnel engineering. In addition, this paper proposes a new groundwater table estimation method, which has higher accuracy than the traditional method of using borehole data to interpolate, and thus can further optimize the hydrogeological information model.","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":"130666788","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557105
Sha Xu, Chuanjia Gong, Ziyu Tong
Urban sculpture is an important component of urban art. In recent years, urban sculpture has experienced rapid development in China. However, location selection of urban sculpture is still difficult, especially in master plan. This paper attempts to explore for a new method of location selection for sculpture planning based on GIS and in combination with the practical case of Taizhou Urban Sculpture Planning. Firstly, the paper's author used the Internet to select the open space points suitable for the setting of urban sculptures in the city, and then utilized Baidu Map POI data, WeChat Heat map, open space area, and other factors to evaluate the importance of the aforementioned spatial nodes, thus determining the desired location selection of sculpture.
{"title":"Research on Location Selection of Urban Sculpture Based on Big Data — Case Study of Taizhou","authors":"Sha Xu, Chuanjia Gong, Ziyu Tong","doi":"10.1109/GEOINFORMATICS.2018.8557105","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557105","url":null,"abstract":"Urban sculpture is an important component of urban art. In recent years, urban sculpture has experienced rapid development in China. However, location selection of urban sculpture is still difficult, especially in master plan. This paper attempts to explore for a new method of location selection for sculpture planning based on GIS and in combination with the practical case of Taizhou Urban Sculpture Planning. Firstly, the paper's author used the Internet to select the open space points suitable for the setting of urban sculptures in the city, and then utilized Baidu Map POI data, WeChat Heat map, open space area, and other factors to evaluate the importance of the aforementioned spatial nodes, thus determining the desired location selection of sculpture.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"24 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":"132638286","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557060
Zhong-Chang Chen, Shu Xia
With the development of human society, tourism has become one of the strongest and largest industries in the global economy. Finance, as the core area of the economy, has played a major role in supporting and promoting the development of tourism. With the continuous expansion of financial market and tourism market, tourism finance has become a hot area of research. Along with the advent of the era of big data and the maturation of technology of the internet, this paper aims to discuss the past and status quo of the research on China's tourism finance over the past thirty-seven years and give views on its future work
{"title":"The Research on China's Tourism Finance in the Past Thirty-Seven Years","authors":"Zhong-Chang Chen, Shu Xia","doi":"10.1109/GEOINFORMATICS.2018.8557060","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557060","url":null,"abstract":"With the development of human society, tourism has become one of the strongest and largest industries in the global economy. Finance, as the core area of the economy, has played a major role in supporting and promoting the development of tourism. With the continuous expansion of financial market and tourism market, tourism finance has become a hot area of research. Along with the advent of the era of big data and the maturation of technology of the internet, this paper aims to discuss the past and status quo of the research on China's tourism finance over the past thirty-seven years and give views on its future work","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"35 5 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":"128384701","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557115
Yang Mei, Fan Hong, Zeng Jia, Zhao Kang
Debris flow forecasting is of great significance for it could seriously endanger people's life and property safety. This paper considered the northwestern part of Yunnan Province as research area, and took the elevation, slope, rainfall, landform, evapotranspiration and NDVI (normalized difference vegetation index) as influential factors. Followed by two accuracy indicators TPR and FPR, best models of Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest (RF) were established. Then a same test set were used to compare the effectiveness of them. The result shows that as a combined classifier, RF performed the best with TPR is 83.10% and FPR is 0.48%, SVM took second place with TPR is 74.99% and FPR is 1.98%, and LR is inclined to predict occurrence, causing its high FPR 22.71%. The LR, SVM and RF models built in this paper are quite effective and provide a theoretical base for prevention and reduction of debris flow. Additionally, 41 mud sensors data distributed in this region were collected, based on which the debris flow probability of these area were obtained by LR model to explore the effect of mud on debris flow. Experiments find that in some basins, mud has a positive impact on debris flow, and in the remain basins, mud may be slightly influenced by rainfall and thus cause a negative effect on debris flow.
{"title":"Debris Flow Forecasting of Northwest of Yunnan Province Based on LR, SVM, and RF Statistical Models","authors":"Yang Mei, Fan Hong, Zeng Jia, Zhao Kang","doi":"10.1109/GEOINFORMATICS.2018.8557115","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557115","url":null,"abstract":"Debris flow forecasting is of great significance for it could seriously endanger people's life and property safety. This paper considered the northwestern part of Yunnan Province as research area, and took the elevation, slope, rainfall, landform, evapotranspiration and NDVI (normalized difference vegetation index) as influential factors. Followed by two accuracy indicators TPR and FPR, best models of Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest (RF) were established. Then a same test set were used to compare the effectiveness of them. The result shows that as a combined classifier, RF performed the best with TPR is 83.10% and FPR is 0.48%, SVM took second place with TPR is 74.99% and FPR is 1.98%, and LR is inclined to predict occurrence, causing its high FPR 22.71%. The LR, SVM and RF models built in this paper are quite effective and provide a theoretical base for prevention and reduction of debris flow. Additionally, 41 mud sensors data distributed in this region were collected, based on which the debris flow probability of these area were obtained by LR model to explore the effect of mud on debris flow. Experiments find that in some basins, mud has a positive impact on debris flow, and in the remain basins, mud may be slightly influenced by rainfall and thus cause a negative effect on debris flow.","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":"133351659","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}
Pub Date : 2018-06-01DOI: 10.1109/geoinformatics.2018.8557050
{"title":"2018 26th International Conference on Geoinformatics [Copyright notice]","authors":"","doi":"10.1109/geoinformatics.2018.8557050","DOIUrl":"https://doi.org/10.1109/geoinformatics.2018.8557050","url":null,"abstract":"","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"72 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":"131793132","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557132
Wuyang Hong
In recent years, the development of a high-speed railway has become an important influencing factor in the process of regional pattern changes in China. Strengthening traffic accessibility has the most direct impact on regional development. As a case study, Nanjing, an urban agglomeration transportation hub of the high-speed railway in South Jiangsu, was selected as the object of this research. In this study, we conducted the cumulative cost distance algorithm in geographic information system (GIS) to construct the accessibility evaluation model based on minimum distance partition, which helps to analyze the effect on the accessibility pattern of regional central cities in urban agglomerations scale. The results indicated that the high-speed railways increased regional space-time contraction and reduced the time cost between areas to improve the overall level of regional accessibility. Time costs of each node to Nanjing diminished slightly, and the accessibility gap narrowed gradually. More cities achieve cross-city day flow and result in Urban Integration effect which can be profound influence on the economic and spatial structure. Furthermore, HSR services are intended to be medium-and long-distance connections as the isochronous rings of 90 min and 120 min significantly expanded the scope. Also, the improvement of accessibility by high-speed railway has the Hourglass Effect according to city scale.
{"title":"Time Accessibility Pattern Changes in Response to New Fast Transportation Mode: Approaches and Applications","authors":"Wuyang Hong","doi":"10.1109/GEOINFORMATICS.2018.8557132","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557132","url":null,"abstract":"In recent years, the development of a high-speed railway has become an important influencing factor in the process of regional pattern changes in China. Strengthening traffic accessibility has the most direct impact on regional development. As a case study, Nanjing, an urban agglomeration transportation hub of the high-speed railway in South Jiangsu, was selected as the object of this research. In this study, we conducted the cumulative cost distance algorithm in geographic information system (GIS) to construct the accessibility evaluation model based on minimum distance partition, which helps to analyze the effect on the accessibility pattern of regional central cities in urban agglomerations scale. The results indicated that the high-speed railways increased regional space-time contraction and reduced the time cost between areas to improve the overall level of regional accessibility. Time costs of each node to Nanjing diminished slightly, and the accessibility gap narrowed gradually. More cities achieve cross-city day flow and result in Urban Integration effect which can be profound influence on the economic and spatial structure. Furthermore, HSR services are intended to be medium-and long-distance connections as the isochronous rings of 90 min and 120 min significantly expanded the scope. Also, the improvement of accessibility by high-speed railway has the Hourglass Effect according to city scale.","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":"122373014","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557150
Wanjing Zhao, Yang Yang, Kun Yang
Remote sensing image registration plays an essential role in agriculture and military fields, it has been widely used in agriculture and urban land use planning, military damage assessment, and environmental monitoring, etc. In this paper, we propose an image registration method based on multiple features and parameter optimization. Which has a contribution, the parameter $L$ is optimized in the local feature. And we optimize the parameter in different registration modes to promote the registration accurate. We evaluated the performances of the proposed method by a series of remote sensing images from Google Earth, and compared with five state-of-the-art methods. Where our method shows the best alignments in most scenarios.
{"title":"Remote Sensing Image Registration with Multiple Features and Parameter Optimization","authors":"Wanjing Zhao, Yang Yang, Kun Yang","doi":"10.1109/GEOINFORMATICS.2018.8557150","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557150","url":null,"abstract":"Remote sensing image registration plays an essential role in agriculture and military fields, it has been widely used in agriculture and urban land use planning, military damage assessment, and environmental monitoring, etc. In this paper, we propose an image registration method based on multiple features and parameter optimization. Which has a contribution, the parameter $L$ is optimized in the local feature. And we optimize the parameter in different registration modes to promote the registration accurate. We evaluated the performances of the proposed method by a series of remote sensing images from Google Earth, and compared with five state-of-the-art methods. Where our method shows the best alignments in most scenarios.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"36 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":"121296970","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}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557199
Yaming Zhang, Yan Liu, Jianhou Gan
Localization is one of the most critical issues in wireless sensor networks (WSNs). An important research direction within localization is to develop schemes by using optimization methods. In this paper, invasive weed optimization (IWO) algorithm is used for the field of WSNs localization. Furthermore, two measures are proposed to improve the performance of algorithm. Firstly, the idea of proactive estimation is put forward and used to narrow down and restrict the feasible solution space, which helps to speed up the global search. Then, an adaptive standard deviation (SD) is presented to replace the constant SD in the original IWO, which helps the algorithm to improve the convergence speed, and make it more exploitive. Results show that the proposed localization algorithm achieves higher accuracy with lower network costs and energy consumption compared to the existing schemes.
{"title":"A Novel Localization Algorithm Based on Invasive Weed Optimization in Wireless Sensor Networks","authors":"Yaming Zhang, Yan Liu, Jianhou Gan","doi":"10.1109/GEOINFORMATICS.2018.8557199","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557199","url":null,"abstract":"Localization is one of the most critical issues in wireless sensor networks (WSNs). An important research direction within localization is to develop schemes by using optimization methods. In this paper, invasive weed optimization (IWO) algorithm is used for the field of WSNs localization. Furthermore, two measures are proposed to improve the performance of algorithm. Firstly, the idea of proactive estimation is put forward and used to narrow down and restrict the feasible solution space, which helps to speed up the global search. Then, an adaptive standard deviation (SD) is presented to replace the constant SD in the original IWO, which helps the algorithm to improve the convergence speed, and make it more exploitive. Results show that the proposed localization algorithm achieves higher accuracy with lower network costs and energy consumption compared to the existing schemes.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"90 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":"117169590","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}
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