2009 17th International Conference on Geoinformatics最新文献

{"title":"Depth image-based modeling of point cloud","authors":"Shuangfeng Wei, Hong Chen","doi":"10.1109/GEOINFORMATICS.2009.5293115","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293115","url":null,"abstract":"This paper introduces at first GQS(General Quadric Surface) equation, then considers that utilizing depth images referenced to various datum planes to model point cloud. After getting reference datum, this paper proposing the methods of creating depth images from point cloud and the specific steps with reference to different datums. Finally we choose some point cloud data of ancient building components from laser scanning data of Forbidden City in China as experiment data, and develop a depth images modeling system. Experiment results demonstrate the stability and high precision of the method of plane, cylinder and sphere fitting as well as the validity of depth images to represent point cloud of object.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130786025","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 segmentation method of Ultrasonic CT image based on Wavelet Neural Network","authors":"Wu Ying, Sun Mingqing, Li Zhuoqiu","doi":"10.1109/GEOINFORMATICS.2009.5293025","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293025","url":null,"abstract":"Due to the characteristic of the intuitivism of image, Ultrasonic tomography technology in non-destructive testing of concrete structure is attached importance. The combination of Wavelet and Neural Networks will constructs a kind of wavelet neural network, which can be used to study the segmentation method of Ultrasonic CT color image. Instead of the traditional Sigmoid function, Wavelet basis function can organically fuse the good time-frequency domain feature and the adaptive advantage of neural network, and overcome the limitations of the slow convergence rate and easily felling into the local minimum of BP neural network.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131077976","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":"Approach for interoperability of multi-source geological hazard data based on ontology and GeoSciML","authors":"Gang Liu, Chonglong Wu, Xiaogang Ma, Yanni Wang, Fei Tian","doi":"10.1109/GEOINFORMATICS.2009.5293456","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293456","url":null,"abstract":"Sorts of models in current geological hazard information management system and Digital Disaster Reduction System (DDRS) in China still lack of enough basic data support. One key problem is how to realize integration and share of complex geological hazard heterogenous spatial information. Isomerous geological hazard data have four types: structural isomer, syntax isomer, system isomer and semantic isomer. Interoperability of semantic heterogenous data is a difficult issue due to complexity and implication of semantic information. Ontology not only describes exactly the meaning of concepts but also inner relationship of the concepts, which can efficiently express common knowledge of specific domain by logic reasoning to get the implied relationship among concepts. On the other hand, GeoSciML 2.0 is a standard exchange language for geological information sharing. According to the feature of geological hazard data, complex geological object modeling and expression can be realized by extending GeoSciML, which is based on GML model and widely used XML standard that ensure the transformed data can be accepted by commercial or free tools. The problems of large load of programming and software frequent upgrade in data transform and direct reading mode can be solved. Therefore, ontology is used to carry out semantic sharing model and GeoSciML is applied to construct transmission and exchange model to improve interoperability capacity of geological hazard information system. There are three layers of geological hazard ontology: top-level ontology, domain ontology and application ontology which are designed to build semantic integration and share model and differ from traditional data dictionary and metadata method. Based on the abundant geological hazard data of Three Gorges Area in China, geological hazard ontology and GeoSciML technology are being applied to realize data and application integration and improve decision making for emergency response when single hazard or group hazards occur.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128611943","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 analysis of economic spatial characteristics of Beijing-Tianjin-Hebei metropolitan region based on GIS","authors":"Jian Lian, H. Gong, Xiaojuan Li, Yonghua Sun, Wenhui Zhao, Lin Zhu","doi":"10.1109/GEOINFORMATICS.2009.5293438","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293438","url":null,"abstract":"The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, we take the Beijing-Tianjin-Hebei metropolitan region as research object and take the county administrative division as the basic research units. Considering the spatial characteristics, the exploratory spatial data analysis method of GIS is introduced, which includes global spatial autocorrelation and local spatial autocorrelation methods. Through constructing spatial weight matrix and analyzing a series of indexes which contain Moran I index, Moran Scatter Plot and LISA and so on, the economy spatial distribution of Beijing-Tianjin-Hebei metropolitan region over 2001∼2006 is obtained from the spatial interactive angel, and the spatial autocorrelation and spatial heterogeneity among counties are revealed.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131336555","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":"Extracting the international markets of a tourist destination from inlinks","authors":"Yi Zhang, Yu Liu, Yong Gao, Lina Qi, Lili Song","doi":"10.1109/GEOINFORMATICS.2009.5293468","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293468","url":null,"abstract":"So far, the markets of a tourist destination are determined mainly by questionnaire survey. Based on our previous work, a hyperlink-based GIS model called the “bulb” model is proposed to extract the international potential markets of a tourist destination from inlinks to its websites. In this paper, the principle and implementation of the “bulb” model are introduced in detail. In addition, a case study using the “bulb” model to extract the international potential markets of the Imperial Palace from hyperlinks linking to its website is provided to show how the “bulb” model may be applied.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131647277","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 Winner Takes All mechanism for automatic object extraction from multi-source data","authors":"A. Mancini, E. Frontoni, P. Zingaretti","doi":"10.1109/GEOINFORMATICS.2009.5293425","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293425","url":null,"abstract":"Automatic object extraction from multi-source aerial data is a desirable property for many activities, such as detecting 3D city model changes or updating road databases. This paper applies the Winner Takes All (WTA) mechanism, derived from other research fields, to combine the benefits of pixel and region classification. We fuse LiDAR data and multi-spectral high-resolution images to generate the set of features used by boosted classifiers to detect buildings, trees, bare land and grass. The main benefit of region based classification is that it removes the sensibility to noise of pixel based classifiers. The WTA approach is useful especially when pixel based approaches leave many pixels unclassified; typical cases are borders of building roofs or thin canopies, where LiDAR data are often noisy. Results in an urban environment using high-resolution LiDAR and multi-spectral data are presented comparing the performance of pixel, region and WTA approaches.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121631668","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":"New logic for large-scale land cover classification based on remote sensing","authors":"Quanfang Wang, Haiwen Zhang, Hangzhou Sun, Jiayong Li","doi":"10.1109/GEOINFORMATICS.2009.5292826","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5292826","url":null,"abstract":"Nowadays it's still very difficult to find accurate information on land-cover areas and types, which mainly results from the confusion between land use types and land cover types (e.g., many researchers equated land cover with land use and land use types were often employed for the replacements of land cover types) and the absence of a standard land cover classification system with an unambiguous, repeatable definition of land cover and quantificational classification criteria so as to the classification result comparable. In this study, a new logic for land cover classification at regional scale has been introduced. The critical features of this classification are that: it's indeed distinguished from land use classification system and driven by remote sensing so that repeatable and efficient re-classifications of existing land cover will be possible; spectrum and primary attributes of plant-canopy structure (i.e. permanence of aboveground live biomass, leaf longevity and leaf type) are adopted as the primary criterions of land cover classification; based on the phonological difference among broadly defined vegetation, some typical land cover is easily distinguished by using the characteristics of seasonal dynamic; mixed land cover is differentiated by its constituent characteristics and influence on land surface processes. Taking the areas between Yangtze River Basin and Weihe River Basin in China as a case and using time-series MODIS 250 m data (i.e. NDVI and reflectance), a two-level hierarchical land cover classification scheme was produced for the areas. At the initial stage, the entire study area was mapped into seven classes, i.e. evergreen cover (woody), seasonal green cover (woody), seasonal green cover (herbaceous), seasonal green cover (crops), seasonal green cover (mixed), grey cover (non-vegetated and terrestrial) and blue cover (aquatic or regularly flooded). The sub-classes includes Coniferous evergreen forest, Broadleaf deciduous forest, Single cropping in one year, Continuous double cropping in one year, grassland, Wetland, Urban or Built-up land, Barren or Sparsely land, River, Lake, Mixed Cover of Crop and tree, etc.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125291960","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":"Efficient managing large scale species range maps in a spatial database environment","authors":"Jianting Zhang","doi":"10.1109/GEOINFORMATICS.2009.5293395","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293395","url":null,"abstract":"Species distribution data are becoming increasingly available over the past few years and the availability is likely to increase significantly in the near future due to technological advances. While traditionally GIS are used to visualize the distributions of a limited number of species and to generate biodiversity indices in predefined regions in an offline mode, it is desirable to manage such data in a spatial database environment and allow customer applications to efficiently query the database with arbitrary dynamically defined regions. In this study, we have developed a Variable-Fanout Space Partition (VF-SP) tree structure to represent species distribution maps by extending the classic quad-tree data structures to accommodate user-defined raster tessellations. Subsequently we have developed an approach to import multiple VF-SP trees representing a large number of species distribution maps into a spatial database for efficient query processing. Experimental results using NatureServe 4000+ bird species distribution data demonstrate that the proposed approach can be 30–300 times faster than the baseline approach that manages the same data as polygons in the same spatial database with respect to the average query response time using a query window size of 0.1 degree to 1 degree at a global scale. The average response times for such queries are less than 1 second when querying more than 15 million boxes in a PostgreSQL database. The results are encouraging with respect to using stateof- the-art spatial database technologies to manage large-scale species distribution data and answer dynamic queries in generating indices that are important to biodiversity research","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114263377","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":"Technical architecture for land monitoring portal using google maps API and open source GIS","authors":"Kiwon Lee","doi":"10.1109/GEOINFORMATICS.2009.5293060","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293060","url":null,"abstract":"Geo-spatial web portal is regarded as one of the attractive applications from both users and providers in GIS domain. Especially, in the mashup theme using open API provided by general portal such as Google or Yahoo, web mapping application is the top-ranked one. However, web mapping, one component in geo-spatial web, has been the long-term task in the GIS communities, and web mapping components for registering, manipulating, retrieving, and publishing of scalable contents in the target-based application are also diversifying. Moreover, GIS standards are one of the crucial factors to web-based applications. The implementation of land monitoring portal, dealing with multiple sources and multiple types of data contents is the main task. Land monitoring requires the basic components for geo-spatial web portal with the functionalities as linking to other contents concerned, accessing to actual data sets, metadata crawling and harvesting, as well as spatial querying and web mapping. In this work, land monitoring architecture is designed with the basis of open source GIS programs and web mapping API, and Google maps API is used in client-side browser. In this client system, external data sets can be loaded and overlain on geo-based layer from Google mapping server. For server-side processing in this portal system, PostgreSQL and PostGIS are applied for database contents managed by system operators or providers, and Deegree is used for middleware to exchange OGC-GIS standard data formats or other formats what users want. While, in this system, this tier structure can be customized according to operation environments or land monitoring data structure: multi-client system and one middleware system or multi-client system, middleware, and server engine. The main advantages of this architecture are the cost-effectiveness due to free open source, the easiness of system optimization which can be fitted the performance requirement of a target system, and the modularization for light-weighted application implementation.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114605229","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 detection and removal of conflicts in road network generalization by delaunay triangulation","authors":"Yafeng Huang, T. Ai, Huihui Liu","doi":"10.1109/GEOINFORMATICS.2009.5293482","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2009.5293482","url":null,"abstract":"The automated detection and removal of spatial conflicts remains unsolved in map generalization. There are many methods aiming at this question, but it is still an open question. Several impacts, such as the characteristic of spatial conflict, spatial context and others, should be considered in the process. Based on the idea of causes classification and spatial competition a comprehensive method is presented to detect conflicts by delaunay triangulation. After conflict detection, a hierarchical classification of conflict is constructed. Corresponding operator or model for each kind of conflict is proposed. Results of this new method obtained on real data are discussed.","PeriodicalId":121212,"journal":{"name":"2009 17th International Conference on Geoinformatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114786983","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}