• KSCE Journal of Civil and Environmental Engineering Research
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• v.2 no.1
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• pp.81-92
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• 1982

This study aimes at understanding the factors influencing poistion-determination by investigating the propagation of errors developed during orientation work in three-dimmensional coordinates of the aerial photograph. This paper treats the comparison and analysis of phopagation of errors due to computing orientation requited for the analysis of the absolute coordinate from the image coordinates of photograph.

• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.427-439
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• 2019

Purpose: We generated geospatial information of unmanned aerial vehicle based on various SW and analyzed the location accuracy of orthoimage and DSM and texture mapping of 3D mesh. Method: The same unmanned aerial image data is processed using two different SW, and spatial information is generated. Among the generated spatial information, the orthoimage and DSM were compared with the spatial information generation results of the unmanned aerial photogrammetry SW by performing quantitative analysis by calculating RMSE of horizontal position and vertical position error and performing qualitative analysis. Results: There were no significant differences in the positional accuracy of the orthoimage and DSM generated by each SW, and differences in texture mapping in 3D mesh. The creation of the 3D mesh indicated the impact of the Unmanned Aerial Photogrammetry SW. Conclusion: It is shown that there is no effect of SW on the creation of orthoimage and DSM for geospatial analysis based on unmanned aerial vehicle. However, when 3D visualization is performed, texture mapping results are different depending on SW.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.285-290
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• 2004

그림자효과 보정은 도심지역에서 영상 해석 또는 지상의 인공지물을 추출하는데 있어서 상당히 중요한 처리과정이다. 본 연구에서는 다중자료원(Multi-Source Data Sets)을 이용하여 컬러항공사진에 발생한 그림자의 효과를 효율적으로 처리 및 보정 할 수 있는 알고리즘을 제시하였으며 시각적인 비교뿐만 아니라 도로추출의 시도로 그림자 보정효과의 입증하였다. 또한 다중자료원인 컬러항공사진, LiDAR 고도자료 그리고 1:1000 수치지도를 이용하여 각 센서 및 기존 자료가 가지고 있는 장점을 최대한 살려 시너지 효과를 나타낼 수 있도록 적절한 융합과정을 시도하여 성공적인 예를 보여주었다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.8 no.1
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• pp.31-40
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• 1990

In this study, sample area was selected to compare the conventional method with photogrammetic method in basic planning of country club. Also various elements of planning, such as vegetation and water system, were considered through interpretation of aerial photographs and topographic maps, vegetation maps and water system maps were made as well as digital terrain models. These were used to analyse tophographic changes and landscape. As a result of comparing with the conventional method, it was shown that photographic interpretation could give more detail values than the conventional method, and that the digital terrain model could predict changes of topography, landscape and water system with more asccuracy. Consequently, the method of digital terrain model and photographic interpretation proved to be more effective than the conventional method in the case of water treatment, and planning of landscape and land utility.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.193-198
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• 2006

최근의 동남아시아 발생한 지진해일(쓰나미)과 미국 뉴올리언즈 지역의 허리케인으로 등의 재난으로 인해 막대한 인명과 경제적 피해가 전 세계적으로 빈번히 발생하고 있다. 우리나라도 폭설과 태풍, 산불로 인한 피해가 해마다 증가하고 있는 실정이다. 본 연구에서는 '05년 양양지역의 대규모 산불재해지역을 중심으로 항공레이저측량, GPS/INS항공사진측량 등의 다중센서를 이용하여 GSIS자료를 취득하였다 이를 통해 수치지형도, 수치고도모형, 수치외관모형, 디지털 영상, 근적외선 영상을 처리하였으며, 과거 항공사진자료와의 비교 분석을 통해 정확한 피해면적과 피해량, 향후 산사태가 발생할 수 있는 지역 예측 및 식생에 대한 피해정도와 회생가능성을 분석하였다.

• Journal of Korean Society for Geospatial Information Science
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• v.7 no.2 s.14
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• pp.47-56
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• 1999

In this study, tie point observation in aerial triangulation was automated by the image processing methods. The technique includes boundary extraction and We matching processes. The procedures were applied to extract points of Interest and to find their conjugate points in the other images. The image coordinates of the identified points were then used to compute their absolute coordinates. An algorithm was developed in this study for the automation of observation in aerial triangulation, which is a manual process of selecting a tie point and recording the image coordinate of the selected point. The developed algorithm automates this process through the application of a mathematical operator to extract points of interest from an arbitrary image. The root m square error of image coordinates of the developed algorithm is $6.8{\mu}m$, which is close to that of the present analytical method. In a manual environment, the accuracy of the result of a photogrammetric process is heavily dependant on the level of skill and experience of the human operator. No such problem exists in an automated system. Also, as a result of the automated system, the time spent in the observation process could be reduced by a factor of 61.2%, thereby reducing the overall cost.

• Journal of Cadastre & Land InformatiX
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• v.50 no.1
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• pp.163-180
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• 2020

In this study, to build a spatial information infrastructure, which is a component of a smart city, a 3D digital twin model in the downtown area was built based on the latest spatial information acquisition technology, the drone. Several analysis models were implemented by utilizing. While the data processing time and quality of the three types of drone photogrammetry software are different, the accuracy of the construction model is ± 0.04 in the N direction and ± 0.03m in the E direction. In the m and Z directions, ± 0.02m was found to be less than 0.1m, which is defined as the allowable range of surveying performance and inspection performance for the boundary point in the area where the registration of the boundary point registration is executed. 1: 500 to 1 of the aerial survey work regulation: The standard deviation, which is the error limit of the photographic reference point of the 600 scale, appeared within 0.14 cm, and it was found that the error limit of the large scale specified in the cadastral and aerial survey was satisfied. In addition, in order to increase the usability of smart city realization using a drone-based 3D urban digital twin model, the model built in this study was used to implement Prospect right analysis, landscape analysis, Right of light analysis, patrol route analysis, and fire suppression simulation training. Compared to the existing aerial photographic survey method, it was judged that the accuracy of the naked eye reading point is more accurate (about 10cm) than the existing aerial photographic survey, and it is possible to reduce the construction cost compared to the existing aerial photographic survey at a construction area of about 30㎢ or less.

• Korean Journal of Heritage: History & Science
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• v.51 no.2
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• pp.22-37
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• 2018

Unmanned aerial vehicles (UAV) have attracted considerable attention both at home and abroad. The UAV is equipped with a camera that shoots images, which is advantageous for access to areas where archaeological investigations are not possible. Moreover, it is possible to acquire three-dimensional spatial image information by modeling the terrain through aerial photographing, and it is possible to specify the interpretation of the terrain of the survey area. In addition, if we understand the change of the terrain through comparison with past aerial photographs, it will be very helpful to grasp the existence of the ruins. The terrain modeling for searching these remains can be divided into two parts. First, we acquire the aerial photographs of the current terrain using the drone. Then, using image registration and post-processing, we complete the image-joining and terrain-modeling using past aerial photographs. The completed modeled terrain can be used to derive several analytical results. In the present terrain modeling, terrain analysis such as DSM, DTM, and altitude analysis can be performed to roughly grasp the characteristics of the change in the form, quality, and micro-topography. Past terrain modeling of aerial photographs allows us to understand the shape of landforms and micro-topography in wetlands. When verified with actual findings and overlapping data on the modelling of each terrain, it is believed that changes in hill shapes and buried Microform can be identified as helpful when used in low-flying applications. Thus, modeling data using aerial photographs is useful for identifying the reasons for the inability to carry out archaeological surveys, the existence of terrain and ruins in a wide area, and to discuss the preservation process of the ruins. Furthermore, it is possible to provide various themes, such as cadastral maps and land use maps, through comparison of past and present topographical data. However, it is certain that it will function as a new investigation methodology for the exploration of ruins in order to discover archaeological cultural properties.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.301-306
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• 2010

Recently GIS is not only displaying and servicing data on the 2D, but also is changing rapidly to display and service 3D data. Also 3D related technology is developing actively. For display of 3D data, terrain DTM has become a basis. Generally, to acquire DTM, users are using LIDAR data or digital map's contour line. However, if using these data for producing DTM, users need to additional cost and data lead time. And hard to update terrain data. For possibility of solving these problem, this study did DTM extraction with automatic matching for aerial photograph, and analysed the result with measurement of Orthometric height and excuted accuracy through DTM(which extracted from digital photogrammetric technique). As a result, we can get a high accuracy of RMSE (0.215m).

• Electronics and Telecommunications Trends
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• v.14 no.2 s.56
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• pp.129-130
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• 1999

지상정밀자료 분석을 위한 지능형 위성영상처리기법 개발의 기술이전 내용은 공간 데이터 처리를 위한 영상처리 및 GIS 기술과 관련하여 개발한 기술 중 비행 시뮬레이션, 영상 전처리, 지도좌표체계 변환 그리고 GIS 분석기술 등이다. 또한 항공사진, 위성영상, 지도, 정보 보고서, 지형정보, DB 분석 등 각종 자료를 융합하여 시설물, 목표물에 대한 현황 분석, 변화 탐지, 시설물 시뮬레이션 등의 기능을 수행 할 수 있는 종합 정밀 정보 분석 기술을 관심 있는 기업에 기술이전할 예정이다.