• Journal of Korean Society for Geospatial Information Science
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• v.6 no.2 s.12
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• pp.45-58
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• 1998

Digital photogrammetry is growing today using inexpensive personal confuter and digital image Processing technique instead of expensive analytical plotter in data acquisition from aerial photograph. Ortho photo in replacement of paper map is indispensable in the application of Geo-Spatial Information System and research activities about it are active in the domestic domain. Also the availability of ortho photo is greatly various in existing related fields using topographic map and expected to be used for new technology in near future. For this purpose, design of each module for ortho photo has been carried out with digital map and image. It was shown that the batch program for ortho photo generation developed in this study, could be used effectively as an effective data acquisition method for GSIS.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2002.10a
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• pp.103-106
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• 2002

본 연구에서는 항공사진에 의한 해안선변형을 해석함에 있어서 수치정사영상 방법과 affine 변환을 이용하여 해안선변형을 분석하고, 두 가지 방법에 대한 정확도를 평가함으로써 항공사진을 이용한 해안선변형 해석의 보다 효율적인 방법을 제안하고자 하였다. 검토결과 정확도 평가 분석에서 알 수 있듯이 수치정사영상의 경우 RMS 오차가 3∼5m 정도로 나타났으며, affine 변환의 경우는 RMS 오차가 5∼8m정도인 것을 확인할 수 있었다. 정확도 평가에서 나타난 RMS 오차는 비록 수치정사영상을 이용한 해석방법보다는 정확도 면에서 약간의 차이가 발생하나 이때의 오차가 2∼3m 정도인 것으로 미루어 볼 때 affine 변환을 이용한 해석방법도 매우 정도가 높은 것이라 사료된다. 아울러, 수치정사영상의 경우 그 과정이 매우 복잡하고 어려운 점을 감안하면 affine 변환에 의한 해석방법이 항공사진을 이용한 해안선변형 해석을 수행함에 있어서 매우 효과적인 방법이라 사료된다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.245-249
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• 2004

최근에는 항측기에 GPS/INS 장비를 탑재하여 사진의 촬영과 동시에 외부표정요소를 직접 결정할 수 있는 Direct Georeferencing 기술의 개발로 인하여 지상기준점측량과 AT과정이 불필요하게 되었다. Direct Georeferencing 기법을 이용하게 되면 외부표정요소를 구하기 위한 전처리 과정을 생략할 수 있다. 따라서 지상기준점을 이용한 사진기 준점측량(AT)을 수행하지 않더라도 수치표고모델만 미리 확보되어 있으면 촬영과 동시에 수치정사사진을 생성할 수 있다. 본 연구에서는 촬영과 동시에 GPS/INS에 의해 획득한 외부표정요소와 항공사진을 이용하여 영상매칭에 의하여 수치표고모델(DEM)을 자동 생성하고, 이 결과를 바탕으로 정사사진을 제작하였다. 실제 도화데이터와 Direct Georeferencing 정사영상과의 오차를 평가한 결과, 표준편차가 X는 약 62cm, Y는 약 76cm 정도가 발생하였다. 이 결과는 축적 1：5,000 수치지도의 정확도 요구를 충분히 만족시킬 수 있는 양호한 결과임을 알 수 있다. Direct Georeferencing에 의한 정사영상의 제작방법은 큰 크기의 과대오차가 발생하는 부분을 수작업 또는 반자동으로 해결할 수 있으면 효율적으로 수치지도를 수정/갱신 할 수 있을 것으로 판단된다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.577-584
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• 2016

UAV(Unmaned Aerial Vehicle), which is autonomous flight without pilots. Recently, UAV is being applied to various fields such as video recording, aerial photogrammetry. In particular, UAV is getting a lot of attention in the field of space-related information because of it's data acquisition speed and economic feasibility. But analytical study of an unmanned air-side technologies are lacking. In this study, the research of equipment for the unmanned aerial surveys and UAV technologies and trend analysis for generation of terrain model and ortho image effectively were performed. As a result, the ways to improve the utilization field of unmanned aerial surveying and processing of fixed-wing and rotary-wing unmanned aircraft. were suggested. If analytical research on generation of terrain models and ortho image will be performed, production efficiency of the geospatial information industry is expected to be significantly increased.

• 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.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.2
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• pp.24-36
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• 2000

This study deals with the optimal method of orthophoto products using the non-photogrammetric scanners. we scanned positive film of aerial photographs at the different resolution and producted the orthophoto using the automatically generated DEM based on the Digital Photogrammetric Workstation, considering aerial image resolutions, DEM interval, resampling method and outpixel size. As a results, the acquired accuracy was worse in horizontal, but good in vertical. So It will be expected that orthophoto using non-photo grammetric scanner is good enough for the acquisition of GIS data and the calculation of soil volumes.

• Proceedings of the KSRS Conference
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• 2006.03a
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• pp.19-23
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• 2006

본 연구는 컬러항공사진을 이용하여 컬러영상, 그레이영상 그리고 각 밴드별(RGB) 수치고도모형(DEM)을 생성하여 정확도를 평가하기 위한 것이다. 항공 영상지도의 경우 불과 4-5년 전까지만 해도 흑백항공사진 필름을 이용해 왔으나 최근 들어 판독을 더욱 용이하게 하기 위하여 컬러항공사진을 많이 이용하고 있다. 품질이 높은 정사영상제작을 위해서는 정확한 수치고도모형이 필요하다. 수치고도모형을 생성하기 위한 대표적인 방법으로 수치지도를 이용하는 방법과 영상정합기법을 이용하여 수치고도모형을 생성할 수 있다. 영상정합기법에 의한 수치고도모형 생성 방법은 흑백항공사진에서와는 달리 컬러항공사진은 항공사진 전용 스캐너에서 3개의 밴드(RGB)로 스캔된 영상을 사용한다. 본 연구에서는 수치고도모형의 정확도를 분석하기 위하여 모두 5가지 영상(컬러영상, 그레이영상, Red 영상, Green 영상, Blue 영상)을 획득하였으며 각 밴드별 수치고도모형을 생성하여 수치지도에서 추출된 표고점 자료와의 평균제곱근오차(RMSE) 값을 비교하였다. 본 연구에서는 Red 영상을 이용하는 경우 가장 정확한 수치고도모형을 얻을 수 있었음을 실험을 통해 검증하였다.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.4
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• pp.31-39
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• 2007

As the availability of images from airborne digital camera with high resolution is expanded, a lot of concern are shown about the production of orthoimage and digital map. This study presents the method of updating digital map using orthoimage from airborne digital camera image. Images were georectified using GPS surveying data. For the generation of orthoimage, Lidar DEM was used. The absolute positional accuracy of orthoimage was evaluated using GPS surveying data. And that of the building layer of digital map was estimated using the existed digital map at the scale of 1:1,000. The absolute positional accuracy of orthoimage was as followed: RMSE in X and Y were ${\pm}0.076m$ and ${\pm}0.294m$. The RMSE of the building layer were ${\pm}0.250m$ and ${\pm}0.210m$ in X and Y directions, respectively. The RMSE of the digital map using orthoimage from Aerial Digital Camera image fell within allowable error range established by NGII. Consequently, updating digital map using orthoimage from Aerial Digital Camera image can be applied to various fields including the construction of the framework data and the GIS of local government.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.425-435
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• 2014

The research for extracting man-made features such as building and road from the aerial photograph or satellite imagery has been performed actively. As lately the resolution of digital aerial photographs was improved, unwanted features(noise) would be often detected. An edge detection algorithm is developed to make up for such a noise problem, make boundaries of wanted objects clear and extract only needed features. The algorithm developed in this research performs separating RGB channels, differencing between channels, transforming in to binary images, excluding noises and restoring shapes, and edge extraction in order. The images to be used for edge detection are prepared through bundle adjustment, DTM extraction, orthorectification and mosaicking. The roof edges of small building on preprocessed digital aerial orthophotos were extracted using the algorithm developed in this study. The validity of the algorithms was proved by comparing edge results of small building extracted in this study with those of conventional methods.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.1
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• pp.123-130
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• 2006

The purpose of the paper is to make the three dimensional road simulation model based on the digital photogrammetry and GIS techniques in the middle of Halla mountain of Jeju island. To do this, we generate DEM (digital elevation model) and digital ortho image using GIS tools such as Arc View, Imagestation and MGE module. In GIS, the overlay map schemes combining of the hill shade, the land slope and aspect were applied. Based on the processes, we can build the best three dimensional road line along the hill side of the island. From the results, we also found that the derived DEM from digital ortho image and the GIS technique were very useful for choosing the best three dimensional road design before the real road construction works in Jeju island.