• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.32 no.2
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• pp.87-93
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• 2014

Cadastral parcel objects as polygons are fundamental dataset which represent land administration and management of the real world. Thus it is necessary to assure topological seamlessness of cadastral datasets which means no overlaps or gaps between adjacent parcels. However, the problem of overlaps or gaps are frequently found due to non-coinciding edges between adjacent parcels. These erroneous edges are called uncertain edges, and polygons containing at least one uncertain edge are called uncertain polygons. In this paper, we proposed a new algorithm to efficiently search parcels of uncertain polygons between two adjacent cadastral datasets. The algorithm first selects points and polylines around adjacent datasets. Then the Constrained Delaunay Triangulation (CDT) is applied to extract triangles. These triangles are tagged by the number of the original cadastral datasets which intersected with the triangles. If the tagging value is zero, the area of triangles mean gaps, meanwhile, the value is two, the area means overlaps. Merging these triangles with the same tagging values according to adjacency analysis, uncertain edges and uncertain polygons could be found. We have performed experimental application of this automated derivation of partitioned boundary from a real land-cadastral dataset.

• Journal of Conservation Science
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• v.28 no.1
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• pp.87-94
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• 2012

This study was focused on digital restoration and surface depth modeling applying the three-dimensional laser scanning system of the Haeundae Stone Inscription. Firstly, the three-dimensional digital restoration carried out acquiring of point cloud using wide range and precision scanner, thereafter registering, merging, filtering, polygon mesh and surveyed map drawing. In particular, stroke of letters, inscribed depth and definition appearing the precision scanning polygon was outstanding compared with ones of the wide range polygon. The surface depth modeling completed through separation from polygon, establishment of datum axis, selection of datum point, contour mapping and polygon merging. Also, relative inscribed depth (5~17mm) and outline by the depth modeling was well-defined compared with photograph and polygon image of the inscription stone. The digital restoration technology merging wide range and precision scanning restored the total and detailed shape of the Stone Inscription quickly and accurately. In addition, the surface depth modeling visibly showed unclear parts from naked eye and photograph. In the future, various deteriorations and surrounding environment change of the Stone Inscription will be numerically analyze by periodic monitoring.

• Journal of Cadastre & Land InformatiX
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• v.49 no.2
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• pp.83-92
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• 2019

The particulate matters show high values in winter and spring season, it has a bad influence on the outdoor people. That's why government needs to come up with countermeasures for social weak people like elementary school students. In this paper, new particulate matter stations select ed about elementary schools using spatial analysis. Seoul city areas were divided with 608 hexagon grids(500m), and then implement spatial analysis such as kernel analysis. Finally, new particulate matter stations select through the results of kernel density analysis and point displacement. The results show that, 10 hexagon grids about new particulate matter stations were selected and listed 15 elementary schools including 10 hexagon grids. The 15 elementary schools were including Gangbuk gu, Eunpyeong gu, Guro gu, Dong gu, Geumcheon gu, Dongdaemun gu, Gangdong gu, Songpa gu, Gwangjin gu and Gangnam gu. The results suggests a new management plan direction according to the spatial analysis, result in the process of selecting the measures for the '2018 School Fine Dust Comprehensive Management Measures' announced by the Ministry of Education. Also, this study can be expanded by adding specific buildings as well as the school.