• Title/Summary/Keyword: 무인항공사진측량

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A Study on the Accuracy Evaluation of UAV Photogrammetry using Oblique and Vertical Images (연직사진과 경사사진을 함께 이용한 UAV 사진측량의 정확도 평가 연구)

  • Cho, Jungmin;Lee, Jongseok;Lee, Byoungkil
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.1
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    • pp.41-46
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    • 2021
  • As data acquisition using unmanned aerial vehicles is widely used, as one of the ways to increase the accuracy of photogrammetry using unmanned aerial vehicles, a method of inputting both vertical and oblique images in bundle adjustment of aerial triangulation has been proposed. In this study, in order to find a suitable method for increasing the accuracy of photogrammetry, the accuracy of the case of adjusting the oblique images taken at different shooting angles and the case of adjusting the oblique images with different shooting angles at the same time with the vertical images were compared. As a result of the study, it was found that the error of the checkpoint decreases as the angle of the input oblique images increases. In particular, when the vertical images and oblique images are used together, the height error decreases significantly as the angle of the oblique images increases. The current 『Aerial Photogrammetry Work Regulation』 requires RMSE (Root Mean Square Error), which is the same as GSD (Ground Spatial Distance) of a vertical image. When using an oblique images with a shooting angle of 50°, a result close to this standard is obtained. If the vertical images and the 50° oblique images were adjusted at the same time, the work regulations could be satisfied. Using the results of this study, it is expected that photogrammetry using low-cost cameras mounted on unmanned aerial vehicles will become more active.

Location Accuracy of Unmanned Aerial Photogrammetry Results According to Change of Number of Ground Control Points (지상기준점 개수 변화에 따른 무인항공 사진측량 성과물의 위치 정확도 분석)

  • YUN, Bu-Yeol;SUNG, Sang-Min
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.2
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    • pp.24-33
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    • 2018
  • DSM and orthoimage, which are representative results of UAV photogrammetry, are high-quality spatial information data and are widely used in various fields of spatial information industry in recent years. However, the UAV photogrammetry has a problem that the quality of the output of the UAV deteriorates due to the altitude of the UAV, the camera calibration, the weather conditions at the time of shooting, the performance of the GPS / IMU and the number of the ground reference points. The purpose of this study is to analyze the location accuracy of unmanned aerial photogrammetry according to the change of the number if ground control points. Experiments were made with fixed wing, and the shooting altitude was set at 130m and 260m. The number of ground reference points used was 9, 8, 5, and 4, respectively. Ten checkpoints were used. XY RMSE for orthoimage and Z RMSE for DSM were compared and analyzed. In addition, the resolution of the orthoimage was determined to affect the judgment of the operator in the verification of the planimetric position accuracy, and the visual resolution was analyzed using the Siemens star target. As a result of the analysis, the variation of the vertical position accuracy is larger than the variation of the planimetric position accuracy when the number of the ground reference points are different. Also The higher the flying height, the greater the effect of change of ground control points on position accuracy.

Acquisition of 3D Spatial Information using UAV Photogrammetric Method (무인항공 사진측량을 이용한 3D 공간정보 취득)

  • Jung, Sung-Heuk;Lim, Hyeong-Min;Lee, Jae-Kee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.161-168
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    • 2010
  • This study aims to propose a method that shall rapidly acquire 3D information of the fast and frequently changing city areas by using the images taken by the UAV photogrammetric method, and to develop the process of the acquired data. For this study's proposed UAV photogrammetric method, low-cost UAV and non-metric digital camera were used. The elements of interior orientation were acquired through camera calibration. The artificial 3D model of the artificial structures was constructed using the image data photographed at the target area and the results of the ground control point survey. The digital surface model was created for areas that were changed due to a number of civil works. This study also analyzes the proposed method's application possibility by comparing a 1/1,000 scale digital map and the results of the ground control point survey. Through the above studies, the possibilities of constructing a 3D virtual city model renewal of 3D GIS database, abstraction of changed information in geographic features and on-demand updating of the digital map were suggested.

Reservoir Disaster Monitoring using Unmanned Aerial Photogrammetry (무인항공사진을 이용한 저수지 방재 모니터링)

  • Park, Hong Gi
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.4
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    • pp.143-149
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    • 2014
  • The Disaster planning for the reservoir should be more quickly and intuitively establish measures by means of the sequential monitoring of change status of the reservoir water level and water surface area. This paper presents an approach using the orthophoto image produced by the periodic unmanned aerial photogrammetry and analyzed the feasibility. Total three time of unmanned aerial survey were conducted to make orthophoto images for the Seongnae reservoir and we analyzed the amount of changes for water level and surface area compare with each images. As the Analysis results, it was possible to effectively observe the increase in the water level rises and the surface area due to the rainfall. The maximum deviations of orthophoto images was 7.5cm in X-direction, 10.8cm in Y-direction and 14.1cm in elevation compare with ground surveying results. Therefore, we conclude that the unmanned aerial photogrammetry could be applied with comprehensive reservoir monitoring works for disaster management for reservoir in the future. And, the orthophoto production takes about two hours to shoot the images, and approximately four hours is considered for the image processing. So, the unmanned aerial photogrammetry is considered to be the best disaster work that requires urgent because analysis is possible in the shooting day.

Comparison of Topographic Surveying Results using a Fixed-wing and a Popular Rotary-wing Unmanned Aerial Vehicle (Drone) (고정익 무인항공기(드론)와 보급형 회전익 무인항공기를 이용한 지형측량 결과의 비교)

  • Lee, Sungjae;Choi, Yosoon
    • Tunnel and Underground Space
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    • v.26 no.1
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    • pp.24-31
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    • 2016
  • Recently, many studies have been conducted to use fixed-wing and rotary-wing unmanned aerial vehicles (UAVs, Drones) for topographic surveying in open-pit mines. Because the fixed-wing and rotary-wing UAVs have different characteristics such as flight height, speed, time and performance of mounted cameras, their results of topographic surveying at a same site need to be compared. This study selected a construction site in Yangsan-si, Gyeongsangnam-do, Korea as a study area and compared the topographic surveying results from a fixed-wing UAV (SenseFly eBee) and a popular rotary-wing UAV (DJI Phantom2 Vision+). As results of data processing for aerial photos taken from eBee and Phantom2 Vision+, orthomosaic images and digital surface models with about 4 cm grid spacing could be generated. Comparisons of the X, Y, Z-coordinates of 7 ground control points measured by differential global positioning system and those determined by eBee and Phantom2 Vision+ revealed that the root mean squared errors of X, Y, Z-coordinates were around 10 cm, respectively.

Analysis of the Accuracy of the UAV Photogrammetric Method using Digital Camera (디지털 카메라를 이용한 무인항공 사진측량의 정확도 분석)

  • Jung, Sung-Heuk;Lim, Hyeong-Min;Lee, Jae-Kee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.6
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    • pp.741-747
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    • 2009
  • For construction of 3D virtual city models, airborne digital cameras, laser scanners, multi-oblique photograph systems and other devices are currently being used. With such advanced techniques, precise 3D spatial information can be collected and high quality 3D city models can be built in a considerably large area. The 3D spatial information to be built has to provide the latest information that quickly reflects the causes of any change due to urban development. In this study, a UAV photogrammetric method using low cost UAV and digital camera was proposed to acquire and update 3D spatial information effectively on small areas where information continuously change. In the proposed UAV photogrammetric method, the elements of interior orientation were acquired through camera calibration and the vertical and oblique photographs were taken at 9 points and the 3D drawing of ground control points and buildings was performed using 20 images among the pictured images. This study also analyzed the accuracy of the proposed method comparing with ground survey data and digital map in order to examine whether the method can be used in on-demand 3D spatial information update on relatively small areas.

Numerical Simulations of Landslide Disaster based on UAV Photogrammetry at Gokseong Areas (무인 항공사진측량 정보를 기반으로 한 곡성지역 산사태 수치해석)

  • Choi, Jae Hee;Kim, Nam Gyun;Jun, Byong Hee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.26-26
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    • 2021
  • 본 연구에서는 2020년 산사태가 발생한 곡성지역을 대상으로 무인항공기 사진측량을 통하여 산사태 지역의 범위와 변위를 조사하고 이를 기반으로 산사태에 의한 피해범위를 LS-RAPID에서 분석하였다. LS-RAPID는 지진과 강우의 영향을 반영하는 산사태 시뮬레이션 모델이며, 산사태 운동시작여부를 평가하며 만일 발생 시 토사의 이동, 퇴적 범위, 토사층의 깊이를 예측할 수 있다. 산사태 시뮬레이션에서 중요한 변수 중의 하나는 지중의 활동층의 깊이와 분포이다. 재해현장에서 이런 자료를 신속하고 정량적으로 측정하기 위한 방법으로서 무인항공기를 이용한 측량을 실시하였다. 또한 산사태 토사의 이동과 퇴적을 검증하기 위한 자료도 획득하였다. 매개변수의 추정 시선행연구에서 제시된 값을 참고하여, 재해현장의 피해범위와 규모를 비교하여 매개변수를 추정하여 다른 연구사례에서 이용한 값들과 비교, 분석하였다. 또한, 시뮬레이션의 지형입력자료로서 무인항공기 사진 측량자료에서 생성된 DSM(Digital Surface Model)과 수지지도에서 생성한 DEM(Digital Elevation Model)을 적용한 경우, 시뮬레이션 결과에 영향을 비교, 분석하였다. 결과적으로 DEM보다 DSM을 적용하는 것이 퇴적범위가 크게 확대되지 않으며, 현장을 잘 반영한 결과가 얻어지는 것으로 평가되었다.

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Orhtophoto Accuracy Assessment of Ultra-light Fixed Wing UAV Photogrammetry Techniques (초경량 고정익무인항공기 사진측량기법의 정사영상 정확도 평가)

  • Lee, In Su;Lee, Jae One;Kim, Su Jeong;Hong, Soon Heon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.6
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    • pp.2593-2600
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    • 2013
  • The main purpose of this study is to carry out the performance evaluation of Ultra-light Fixed Wing UAV(Unmanned Aerial Vehicle) photogrammetry which is being, currently, applied for various fields such as cultural assets, accident survey, military reconnaissance work, and disaster management at home and abroad. Firstly, RMSE estimation of Aerial Triangulation (AT) are within approximately 0.10 cm in position (X, Y). And through the comparison of parcel's boundary points coordinates by terrestrial surveying and by UAV photogrammetry, the analysis shows that RMSE are shifted approximately 0.174~0.205 m in X-direction, 0.294~0.298 m in Y-direction respectively. Lastly, parcel's area by orthophoto of UAV photogrammetry and by that of cadastre register has been shown the difference by 0.118 m2. The results presented in this study is just one case study of orthophoto accuracy assessment of Ultra-light fixed wing UAV photogrammetry, hereafter various researches such as AT, direct-georeferencing, flight planning, practical applications, etc. should be necessary continuously.

Sharpness Evaluation of UAV Images Using Gradient Formula (Gradient 공식을 이용한 무인항공영상의 선명도 평가)

  • Lee, Jae One;Sung, Sang Min
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.1
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    • pp.49-56
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    • 2020
  • In this study, we analyzed the sharpness of UAV-images using the gradient formula and produced a MATLAB GUI (Graphical User Interface)-based sharpness analysis tool for easy use. In order to verify the reliability of the proposed sharpness analysis method, sharpness values of the UAV-images measured by the proposed method were compared with those by measured the commercial software Metashape of the Agisoft. As a result of measuring the sharpness with both tools on 10 UAV-images, sharpness values themselves were different from each other for the same image. However, there was constant bias of 011 ~ 0.20 between two results, and then the same sharpness was obtained by eliminating this bias. This fact proved the reliability of the proposed sharpness analysis method in this study. In addition, in order to verify the practicality of the proposed sharpness analysis method, unsharp images were classified as low quality ones, and the quality of orthoimages was compared each other, which were generated included low quality images and excluded them. As a result, the quality of orthoimage including low quality images could not be analyzed due to blurring of the resolution target. However, the GSD (Ground Sample Distance) of orthoimage excluding low quality images was 3.2cm with a Bar target and 4.0cm with a Siemens star thanks to the clear resolution targets. It therefore demonstrates the practicality of the proposed sharpness analysis method in this study.