• Title/Summary/Keyword: Data Conflation

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Development of the Prototype of Integrated Information System for Conflation and Utilization of Land and Building Information (토지·건물정보의 융복합 및 활용을 통한 통합정보시스템 프로토타입 개발)

  • Park, Woo-Jin;Jeong, Dong-Hoon;Park, Jung-Hee
    • Journal of Cadastre & Land InformatiX
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    • v.46 no.2
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    • pp.341-356
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    • 2016
  • Land information and building information have highest utilization and importance in real estate and city administration area. However, providing integrated information service was difficult because conflation and integrative utilization was not easy. In this study, necessity of integrated information system, direction of integration, method of conflation and design of integrated system for land and building information are presented. In addition, the prototype system is developed and possibility of application of integrated information is proposed. For this purpose, current situation of management of land and building information was analyzed. Based on the analysis, matching and conflation processes among spatial and attribute data were applied to land and building information. Using integrated land building information DB, integrated information system and functions were designed and the prototype system was constructed. At last, information service examples in real estate and city administration area were suggested through system operation by LX.

Geometrically and Topographically Consistent Map Conflation for Federal and Local Governments (Geometry 및 Topology측면에서 일관성을 유지한 방법을 이용한 연방과 지방정부의 공간데이터 융합)

  • Kang, Ho-Seok
    • Journal of the Korean Geographical Society
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    • v.39 no.5 s.104
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    • pp.804-818
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    • 2004
  • As spatial data resources become more abundant, the potential for conflict among them increases. Those conflicts can exist between two or many spatial datasets covering the same area and categories. Therefore, it becomes increasingly important to be able to effectively relate these spatial data sources with others then create new spatial datasets with matching geometry and topology. One extensive spatial dataset is US Census Bureau's TIGER file, which includes census tracts, block groups, and blocks. At present, however, census maps often carry information that conflicts with municipally-maintained detailed spatial information. Therefore, in order to fully utilize census maps and their valuable demographic and economic information, the locational information of the census maps must be reconciled with the more accurate municipally-maintained reference maps and imagery. This paper formulates a conceptual framework and two map models of map conflation to make geometrically and topologically consistent source maps according to the reference maps. The first model is based on the cell model of map in which a map is a cell complex consisting of 0-cells, 1-cells, and 2-cells. The second map model is based on a different set of primitive objects that remain homeomorphic even after map generalization. A new hierarchical based map conflation is also presented to be incorporated with physical, logical, and mathematical boundary and to reduce the complexity and computational load. Map conflation principles with iteration are formulated and census maps are used as a conflation example. They consist of attribute embedding, find meaning node, cartographic 0-cell match, cartographic 1-cell match, and map transformation.

A Study on Road Extraction for Improving the Quality in Conflation between Aerial Image and Road Map (항공사진과 도로지도 간 합성 품질 향상을 위한 도로 추출 연구)

  • Yang, Sung-Chul;Lee, Won-Hee;Yu, Ki-Yun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.6
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    • pp.593-599
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    • 2011
  • With increasing user applicability of geospatial data, user demand for manifold and accurate information has increased. The usefulness of these services derives from their combination of the advantages of as-built geospatial data in making new content. There is a spatial inconsistency and shape disagreement in fusing heterogeneous data. Conflation, defined as the combining of information from diverse sources so as to reconcile spatial inconsistencies and shape disagreement, is possible solution to the problem. In this research, we developed the technique for removing shape disagreement between aerial image and road map removed spatial inconsistency in advanced research. The process includes four processes: producing of a road candidate image, extraction of vertices, and generation of a graph by connecting the vertices. We could remove the shape disagreement using the extracted road that was derived from finding the road possible path.

Vector Median Filter for Alignment with Road Vector Data to Aerial Image (항공사진과 도로 벡터 간의 Alignment를 위한 Vector Median Filter의 적용)

  • Yang, Sung-Chul;Yu, Ki-Yun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.1
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    • pp.63-69
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    • 2011
  • Recent growth of the geospatial information on the web made it possible to applicate spatial data. Also, the demand for rich and latest information shows a steady growth. The need for the new service using conflation of the existing spatial databases is on the increase. The information delivery of the services using the road vector and aerial image is reached intuitionally and accurately. However, the spatial inconsistencies in map services such as Daum map, Naver map and Google map is the problem. Our approach is processed to extract the road candidate image, match the template and filter the control points pair using vector median. Finally, CNS node and link are aligned to the real road with the aerial image. The experimental results show that our approach can align a set of CNS node and link with aerial imagery for daejon, such that the completeness and correctness of the aligned road have improved about 35% compare with the original roads.

A Study on the Construction of 3D Cadastral Information by Mobile Mapping System (차량 기반 멀티센서 측량시스템을 이용한 3차원 지적정보 구축에 관한 연구)

  • Min, Kwan Sik;Kim, Jae Myeong;Park, Byung Moon
    • Spatial Information Research
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    • v.22 no.1
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    • pp.1-7
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    • 2014
  • In this paper, we suggested plan that utilize the mobile mapping system data for constructing 3D cadastral information of roads and buildings effectively. 3D cadastral information means conflation of existing cadastral information and spatial information. It also means 3D land management that can register and manage various spatial information with land information effectively. Technically, geometry information and attribute information by image or radar scanner and location information of geographic features calculated by GPS/INS integration technology are useful for constructing 3D cadastral information included in buildings and features on the ground. As a result, the application of mobile mapping system for constructing 3D cadastral information will make a scientification and enhancing of the land information.