• Korean Journal of Remote Sensing
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• v.37 no.4
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• pp.763-776
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• 2021

This paper introduces a method of selecting priority update areas for subdivided land cover maps by training orthoimages and serial cadastral maps in a deep learning model. For the experiment, orthoimages and serial cadastral maps were obtained from the National Spatial Data Infrastructure Portal. Based on the VGG-16 model, 51,470 images were trained on 33 subdivided classifications within the experimental area and an accuracy evaluation was conducted. The overall accuracy was 61.42%. In addition, using the differences in the classification prediction probability of the misclassified polygon and the cosine similarity that numerically expresses the similarity of the land category features with the original subdivided land cover class, the cases were classified and the areas in which the boundary setting was incorrect and in which the image itself was determined to have a problem were identified as the priority update polygons that should be checked by operators.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.3
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• pp.233-243
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• 1999

In this study, sample sites are chosen where digitalized cadastral maps are available, and boundaries of forestry, farming lands, and residence are clearly distinguishable. Digital orthophotos, produced from aerial photographs, are overlaid with digitalized cadastral maps to grope for applications of digital orthophoto in cadastre. The conclusions and applicable fields of this study are as follows. The first. digital orthophoto is applicable to solve problems such as discordance and duplication of boundary produced in the process of digitizing cadastral maps. The second, using digital orthophoto, it is possible to extract regions where a trouble of ownership would exist and so the necessity of cadastral resurveying can be brought. The third, by overlaying digital orthophoto and cadastral map, it can be used effectively for the present situation maintenance of buildings. The fourth, because it is possible to examine current land use of each lot, digital orthophoto may contribute to decide the validity of land category on cadastral map.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.3
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• pp.253-259
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• 2004

The sheetwise cadastral map data needs to become a Serial Cadastral Map (SCM) database for the promotion of the reliability of cadastral surveying, for the efficient operation of the Parcel Based Land Information System, and for the convenient use of land information as well. A large amount of money and time are required for the editing process of producing SCM DB in accordance with the $\ulcorner$Guideline for the Production of Serial Cadastral Maps$\lrcorner$ by the Ministry of Construction & Transportation if any of field surveying techniques is accompanied by. In addition, a boundary line that extends to a neat line does not meet the counterpart of the neighboring map sheet at a point. Such cases frequently occur and are much dependent upon the decisions of individuals in charge of editing or inspecting. The core processes of the research, firstly overlay SCM produced by the edition of the sheetwise cadastral maps with Autodesk Map on orthophoto images, secondly adjust the parcel boundaries which are delineated over more than one map sheet, and lastly compare the original boundary coordinates and areas with the corresponding adjusted ones and calculate root mean square errors (RMSEs). The research aims at promoting the quality of SCM by minimizing the inconsistency of parcel boundaries by means of the comparative analysis of the calculated RMSEs.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.35 no.6
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• pp.535-544
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• 2017

UAVs (Unmanned Aerial Vehicle) are generally classified into fixed-wing and rotary-wing type, and both have very different flight characteristics each other during photographing. These can greatly effect on the quality of images and their productions. In this paper, the change of the camera rotation angle at the moment of photographing was compared and analyzed by calculating orientation angles of each image taken by both types of payload. Study materials were acquired at an altitude of 130m and 260m with fixed-wing, and at an altitude of 130m with rotary-wing UAV over an agricultural land. In addition, an accuracy comparison of boundary surveying methods between UAV photogrammetry and terrestrial cadastral surveying was conducted in two parcels of the study area. The study results are summarized as follows. The differences at rotation angles of images acquired with between two types of UAVs at the same flight height of 130m were significantly very large. On the other hand, the distance errors of parcel boundary surveying were not significant between them, but almost the same, about within ${\pm}0.075m$ in RMSE (Root Mean Square Error). The accuracy of boundary surveying with a fixed-wing UAV at 260m altitude was quite variable, $0.099{\sim}0.136m$ in RMSE. In addition, the error of area extracted from UAV-orthoimages was less than 0.2% compared with the results of the cadastral survey in the same two parcels used for the boundary surveying, In conclusion, UAV photogrammetry can be highly utilized in the field of cadastral surveying.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.289-290
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• 2010

Orthoimage, digital map, cadastral map, and areas and district were converted and overlaid so as to apply legal restrictions on boundaries set by a land object concept restriction line and to analyze boundaries formed by overlaying areas and districts and characteristics of restrictions. With the restriction lines made on the basis of orthoimage.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.04a
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• pp.501-506
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• 2004

Korean cadastral system is primarily based on the graphical maps, thus, map reproduction by excessive shrinkage or extension, map mishandling and imperfection of surveying techniques have created cadastral non-coincident areas, which caused public distrust as well as considerable difficulties in land administration and policy making. Therefore, in this study, the methodologies for the resolution of the non-coincident problem are presented by means of a comparative analysis between cases of the non-coincident areas. The non-coincidence caused by the mismatch of parcel boundaries can be settled by introducing a coordinate-based system, namely $\ulcorner$Integrated Land Information System$\lrcorner$, meanwhile, those by other reasons can be done by establishing and executing a plan that can deliver the unification of the cadastral and the land registration systems. Governmental intention and budgetary measures for securing the project expenses are essential to make this feasible. If the comprehensive improvement project is completed, the cadastral registers that define the parcel boundary, area and ownership will recover public confidence, which in turn secures land owners' rights by promoting land markets and stabilizing land prices.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.1
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• pp.111-118
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• 1998

Today Geo-Spatial Information System(GSIS) has developed and used more widely, and especially it has been more greatly asked for Land Information System as a part of GSIS. Now it has been planning and monitoring for remaking of cadastral maps by the Ministry of Government Administration and Home Affairs. But this is long term project because of the importance of itself. And then it has been needed to computerize cadastral maps for implementation of relative tasks and services. Cadastral maps have some problems; for example, map join in different scales, different administration boundary and so on. In this study General topology algorithm, Polygonization algorithm and Pseudo-topology algorithm was adapted in computerization of cadastral maps. This is called digital map. The area and shape of parcels do not change. As a result it was found that Polygonization algorithm is the best of 3 algorithm and General topology algorithm is the worst.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.1
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• pp.53-62
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• 2016

In recent years, UAV Photogrammetry based on an ultra-light UAS(Unmanned Aerial System) installed with a low-cost compact navigation device and a camera has attracted great attention through fast and accurate acquirement of geo-spatial data. In particular, UAV Photogrammetry do gradually replace the traditional aerial photogrammetry because it is able to produce DEMs(Digital Elevation Models) and Orthophotos rapidly owing to large amounts of high resolution image collection by a low-cost camera and image processing software combined with computer vision technique. With these advantages, UAV-Photogrammetry has therefore been applying to a large scale mapping and cadastral surveying that require accurate position information. This paper presents experimental results of an accuracy performance test with images of 4cm GSD from a fixed wing UAS to demarcate parcel boundaries in agricultural area. Consequently, the accuracy of boundary point extracted from UAS orthoimage has shown less than 8cm compared with that of terrestrial cadastral surveying. This means that UAV images satisfy the tolerance limit of distance error in cadastral surveying for the scale of 1: 500. And also, the area deviation is negligible small, about 0.2%(3.3m²), against true area of 1,969m² by cadastral surveying. UAV-Photogrammetry is therefore as a promising technology to demarcate parcel boundaries.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.3
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• pp.105-114
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• 2010

This study considers and analyzes the position and area errors and the related problems through the experimental study of the converting process from the cadastral coordinate system to the global coordinate system. Also, based on the result, the points of improvement have been considered. According to the conversion of the coordinates in the study area, the standard deviations for the conversion of coordinates in regard to every parcel boundary point (478 points in total) have been calculated as X=0.0079m and Y=0.0153m respectively. It can be considered that such values are extremely excellent. Also, after analyzing the area errors, it has been found that there is a difference of $0.062m^2$ on average. Such a difference stays within the range of the allowable error tolerance specified by the current laws. Therefore, in regard to the limited area which is subject to the study, it can be concluded that the difference is not great in differences of the position or the area. As a result, the converting process into the global coordinate system is possible.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.4
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• pp.181-188
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• 2010

For a proper use of the integrated real estate information, there must be a process on linking the information of buildings and land data. This study aims to enhance the location information of the buildings on the digital topographic map by assigning the coordinates on the building layout plan of the Building Registers which does not have a positional information based on the cadastral boundary of the cadastral map. Also, the land and building attribute information are managed in various official registers and systems which are overlapped each other. The overlapped information must be corrected based on legislation. Therefore this study introduces a comprehensive attribute information excluding any overlapped information. In other words, this study proposes a single advanced real estate information by integrating the attribute information and the separated real estate information(buildings and land).