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2012 20th International Conference on Geoinformatics最新文献

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A distributed geospatial data storage and processing framework for large-scale WebGIS 面向大规模WebGIS的分布式地理空间数据存储与处理框架
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270347
Yunqin Zhong, Jizhong Han, Tieying Zhang, Jinyun Fang
{"title":"A distributed geospatial data storage and processing framework for large-scale WebGIS","authors":"Yunqin Zhong, Jizhong Han, Tieying Zhang, Jinyun Fang","doi":"10.1109/Geoinformatics.2012.6270347","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270347","url":null,"abstract":"With the rapid growth of geospatial data and concurrent users, the state-of-the-art WebGIS cannot support massive data storage and processing due to poor scalability of underlying centralized systems (e.g., native file systems and SDBMS). In this paper, we propose a novel distributed geospatial data storage and processing framework for large-scale WebGIS. Our proposal contains three significant characteristics. Firstly, a scalable cloud-based architecture is designed to provide elastic storage and computation resources of shared-nothing commodity cluster for WebGIS. Secondly, we present efficient geospatial data placement and geospatial data access refinement schemes to improve I/O efficiency. Thirdly, we propose MapReduce based localized geospatial computing model for parallel processing of massive geospatial data, which improves geospatial computation performance. We have implemented a prototype named VegaCI on top of the emerging Hadoop cloud platform. Comprehensive experiments demonstrate that our proposal is efficient and applicable in practical large-scale WebGIS.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124546669","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: 22
Visual data exploration of space-time characteristics of mesoscale eddies in the South China Sea: A cube-based approach 南海中尺度涡旋时空特征的可视化数据探索:基于立方体的方法
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270350
Jiawei Yi, Yunyan Du
{"title":"Visual data exploration of space-time characteristics of mesoscale eddies in the South China Sea: A cube-based approach","authors":"Jiawei Yi, Yunyan Du","doi":"10.1109/Geoinformatics.2012.6270350","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270350","url":null,"abstract":"Study of generation characteristics in space and time has been an important topic in the research on mesoscale eddies in the South China Sea (SCS). As conventional statistical methods are limited to analyzing only the spatial characteristics, this study proposes a cube-based approach which is capable of investigating the spatiotemporal characteristics at different granularities in a hybrid space-time framework. To provide a proof-of-concept study of the approach, we developed a density analysis tool, named CubeViz. Using the generation dataset of the eddies, the paper presents how CubeViz facilitates the data visualization and exploration in an interactive and flexible manner. And the analysis results show the proposed approach provides useful insight into discovering the space-time characteristics of mesoscale eddies in the SCS.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122122750","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
Research on log management system of geographical information sharing platform based on WebGIS 基于WebGIS的地理信息共享平台日志管理系统研究
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270341
Qun Zhang, Manchun Li, Wen Zhang, Hexia Zhang, Min Liu, Feixue Li
{"title":"Research on log management system of geographical information sharing platform based on WebGIS","authors":"Qun Zhang, Manchun Li, Wen Zhang, Hexia Zhang, Min Liu, Feixue Li","doi":"10.1109/Geoinformatics.2012.6270341","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270341","url":null,"abstract":"This paper illustrates the design ideas of log management system based on WebGIS and implementation methods. Bringing WebGIS technology into the field of log management, giving full play to capabilities of WebGIS graphical information dissemination and retrieval, and achieving real-time monitoring data display and analysis, will greatly enhance the intuitive and convenient level of log management system. But due to achievement mechanism of WebGIS system, as well as external network constraints, the current application system based on WebGIS cannot achieve true on-line monitoring. Introducing RIA technology into the log management system and taking Suzhou Industrial Park geographic information sharing platform for example, we build out a comprehensive and efficient log data management system to achieve spatial information which is relating to users' access visualization. The system can monitor network traffic online efficiently and easily, count and analyze log data, provide a scientific decision-making basis for operation and maintenance of geographic information sharing platform.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131689231","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
A method for optimizing the volume of earthwork in the design of mountain building 山地建筑设计中土方工程量的优化方法
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270320
Ziyu Tong, Rong Zhong
{"title":"A method for optimizing the volume of earthwork in the design of mountain building","authors":"Ziyu Tong, Rong Zhong","doi":"10.1109/Geoinformatics.2012.6270320","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270320","url":null,"abstract":"There have a lot of earthwork during the construction of mountain buildings. The minor earthwork and cut and fill balance can not only reduce the construction works and lower the cost, but also lessen carbon emission which is produced in the process of construction. However, it's hard to get the accurate volume of earthwork with AutoCAD or SketchUp, especially in the case of complex mountainous terrain. Based on GIS, the paper proposed an earthwork calculation model which can calculate the volume of earthwork quickly and accurately. The application of the model can effectively optimize the design of mountain building to minimize and balance the earthwork. The model is also a significant exploration to apply the GIS technology into the architectural design.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132400298","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
Research on distributed Hilbert R tree spatial index based on BIRCH clustering 基于BIRCH聚类的分布式Hilbert R树空间索引研究
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270302
Yizhou Yang, Lixin Wu, Jiateng Guo, Shanjun Liu
{"title":"Research on distributed Hilbert R tree spatial index based on BIRCH clustering","authors":"Yizhou Yang, Lixin Wu, Jiateng Guo, Shanjun Liu","doi":"10.1109/Geoinformatics.2012.6270302","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270302","url":null,"abstract":"Spatial index is the foundation of spatial database, while efficiency improvement of traditional serial spatial index has nearly reached its limit, it is therefore necessary to develop parallel spatial index approaches to break the bottleneck in accessing the root node in serial mode. This paper proposes a parallel spatial index called Hilbert R tree index, which can be carried on multicore CPU and computer cluster for parallel spatial queries and data retrieval. This new index method utilizes BIRCH clustering algorithm for spatial classification and data partition before distributed data deployment, considering geographic data characteristics; and creates spatial index in parallel environment by using of Hilbert filling curve. The test results demonstrate that parallel Hilbert R tree index based on BIRCH clustering algorithm can not only maintain internal spatial relations and the attributes of geographic dataset, but also has efficient performance in partitioning and retrieving spatial data.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124362510","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: 6
An improved segmentation of high spatial resolution remote sensing image using Marker-based Watershed Algorithm 基于标记的分水岭算法在高空间分辨率遥感图像分割中的改进
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270304
Boren Li, M. Pan, Zixing Wu
{"title":"An improved segmentation of high spatial resolution remote sensing image using Marker-based Watershed Algorithm","authors":"Boren Li, M. Pan, Zixing Wu","doi":"10.1109/Geoinformatics.2012.6270304","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270304","url":null,"abstract":"This study presents a novel approach to reduce over-segmentation using both pre- and post-processing for watershed segmentation. We make use of more prior knowledge in pre-processing and merge the redundant minimal regions in post-processing. In the initial stage of the watershed transform, this not only produces a gradient image from the original image, but also introduces the texture gradient. The texture gradient can be extracted using a gray-level co-occurrence matrix. Then, both gradient images are fused to give the final gradient image. After the initial results of segmentation, we use the merging region technique to remove small regions. Experiments show the effectiveness of segmentation.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116781123","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: 28
Long-term coastal changes detection system based on remote sensing and image processing around an island 基于遥感和图像处理的海岛长期海岸变化检测系统
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270334
Majed Bouchahma, Wanglin Yan
{"title":"Long-term coastal changes detection system based on remote sensing and image processing around an island","authors":"Majed Bouchahma, Wanglin Yan","doi":"10.1109/Geoinformatics.2012.6270334","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270334","url":null,"abstract":"As an island ecosystem, Djerba, a region of Tunisia located on the southern shore of the Mediterranean Sea, is characterized by limited natural resources and threatened by land degradation due to rapid socio-economic development and heavy human-induced changes to the landscape. The objective of this study is to build a system based on computer vision and remote sensing data for monitoring changes in the coastal zones of an island. We employed monthly Landsat Thematic Mapper (TM) satellite images of the study area ranging from 1984 to 2009. The images were preprocessed using the Speeded Up Robust Features (SURF) algorithm to superimpose remote sensing images at exactly the same coordinates. We then used comparison technique to auto-validate the detection of changes. The technique is based on a window-to-window comparison of the coastal zones. Three highly affected regions were identified. The Bin El-Ouidiane (in the southeast) and Rass Errmal (in the north) regions underwent deposition during the study period, whereas the region of Rass El Kastil (in the north) underwent high erosion.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114916454","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: 4
Towards a seamless integration for spatial objects and topography 朝向空间物体和地形的无缝整合
2012 20th International Conference on Geoinformatics Pub Date : 2012-06-15 DOI: 10.1109/Geoinformatics.2012.6270329
Jiateng Guo, Lixin Wu, Yizhou Yang, Rongbing Zhang
{"title":"Towards a seamless integration for spatial objects and topography","authors":"Jiateng Guo, Lixin Wu, Yizhou Yang, Rongbing Zhang","doi":"10.1109/Geoinformatics.2012.6270329","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270329","url":null,"abstract":"In most spatial information systems, 3D topographic objects and geological strata are often represented as geometrically isolated models due to different data sources and different data models. Though current 3D representations can give satisfactory performances for visualization, the unlinked representations of spatial objects can hardly support real 3D spatial analysis, for instance the integrated simulation of building deformation caused by underground excavation and ground subsidence. In order to satisfy these specialized requirements, a seamlessly integrated geometrical model, which can connect topography with geo-objects both upon and below earth surface, is required. This paper presented such an integrated model which can couple 3D topographic objects and geological strata with the digital terrain model (DTM). The main implementation process of our integration approach is to model the terrain as triangular irregular network (TIN) firstly, with both discrete elevation points and drill collar points, and then insert the bottom triangles of buildings or other topographic objects into TIN as a DTM-coupled integrated model. This model has been adopted in a 3D modeling system called Geos3D@, with which an integrated model constructed from geological and topographical data in Shenyang, China is introduced as an application case.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129871255","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
2012 20th International Conference on Geoinformatics [Copyright notice] 2012第20届国际地理信息学会议[版权声明]
2012 20th International Conference on Geoinformatics Pub Date : 1900-01-01 DOI: 10.1109/geoinformatics.2012.6270356
{"title":"2012 20th International Conference on Geoinformatics [Copyright notice]","authors":"","doi":"10.1109/geoinformatics.2012.6270356","DOIUrl":"https://doi.org/10.1109/geoinformatics.2012.6270356","url":null,"abstract":"Copyright (c) 2012 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved. Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of US copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For other copying, reprint, or republication permission, write to IEEE Copyrights Manager, IEEE Service Center, 445 Hoes Lane, Piscataway, N J 08854. All rights reserved. IEEE Catalog Number: CFPI232H-ART. ISBN: 978-1-4673-1104-5.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126827486","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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