• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1648-1672
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• 2020

There are several types of image registration in the sense of stitching separated images that overlap each other. One of these is feature-based registration by a common feature descriptor. In this study, we generate a mosaic of images using feature-based registration for drone aerial images. As a feature descriptor, we apply the scale-invariant feature transform descriptor. In order to investigate the authenticity of the feature points and to have the mapping function, we employ the sample consensus method; we consider the sensed image's inherent characteristic such as the geometric congruence between the feature points of the images to propose a novel hypothesis estimation of the mapping function of the stitching via some optimally chosen initial candidate inliers in the sample consensus method. Based on the experimental results, we show the efficiency of the proposed method compared with benchmark methodologies of random sampling consensus method (RANSAC); the well-ordering property defined in the context and the extensive stitching examples have supported the utility. Moreover, the sample consensus scheme proposed in this study is uncomplicated and robust, and some fatal miss stitching by RANSAC is remarkably reduced in the measure of the pixel difference.

• 한국환경과학회지
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• 제30권1호
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• pp.19-28
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• 2021

To reduce pollution, decrease the production of carbon dioxide, and to maintain a secure supply of energy, interest continues to grow in the area of renewable energy especially since there is a finite supply of cheap oil. Wind energy is one of the most viable options to consider and supply part of the energy needed to reduce dependence on foreign oil. However, it is difficult to predict the wind speed in an environment with many obstacles such as buildings and trees and getting accurate dimensions of those obstacles is difficult particularly on sloped mountainous terrain. In this study a drone was used to create a 3-D map of the campus of the Catholic University of Pusan. The dimensions and elevations for the 3-D map were used to make a model of the school campus in the CFD program Envi-met. Simulations were run for five different wind directions and 4 different elevations to find the location that would give the highest electrical output for a wind turbine. When considering all of these variables it was found that the optimal location was above the Student Union which had a 40% higher wind speed and could produce 274% more electrical power than the original wind speed.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.411-412
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• 2023

The purpose of this research and development is to develop a structure module that improves the efficiency and constructability of the layout structure as well as the design development of rainwater permeable storage tank blocks using inorganic binders and aggregates with the aim of reducing greenhouse gas (CO₂) with eco-friendly materials. In addition, for the efficient response to flooding of the developed permeable storage structure, we present a technical solution for combining drone mapping technology and flood monitoring technology that can analyze topographical factors in detail.

• International Journal of Contents
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• 제18권3호
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• pp.74-84
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• 2022

The global impact of the Covid-19 pandemic on education has resulted in the near-complete closure of schools, early childhood education and care (ECEC) facilities, universities, and colleges. To help the educational system with social distancing during this pandemic, in this paper the creation of a simple 3D virtual tour will be of a great contribution. This web cyber tour will be program with JavaScript programming language. The development of this web cyber tour is to help the students and staffs to have access to the university infrastructure at a faraway distance during this difficult moment of the pandemic. The drone and matterport are the two devices used in the realization of this website tour. As a result, Users will be able to view a 3D model of the university building (drone) as well as a real-time tour of its inside (matterport) before uploading the model for real-time display by the help of this website tour. Since the users can enjoy the 3D model of the university infrastructure with all angles at a far distance through the website, it will solve the problem of Covid-19 infection in the university. It will also provide students who cannot be present on-site, with detailed information about the campus.

• 한국측량학회지
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• 제37권4호
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• pp.243-251
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• 2019

전국 국도에 설치된 도로표지 위치정보는 MMS(Mobile Mapping System) 기술을 이용하여 지속적으로 갱신하고 있다. MMS에 의해 정확한 도로시설물 매핑이 가능하지만 장비가 고가이고 전문적인 기술이 요구된다. 또한 대상물의 위치 정확도가 GPS 정확도에 크게 좌우된다. 도로시설물 매핑의 경우, 지상 측량이나 유인 항공기에 비해 드론의 운용 장점이 부각되는 분야이다. 특히, 지상 측량에 비해 효율적이고, 유인 항공기에 비해 저예산으로 고해상도의 영상의 획득이 가능하다. 본 연구에서는 도로표지를 대상으로 기존의 모바일 매핑 시스템에 의해 측정된 위치정보의 정확도를 GPS 지상 측량에 의해 검증하고 드론 항공사진 측량 결과와 비교분석 하였다. 드론 항공사진측량에 의한 경우 획득 가능한 공간 정확성을 확인하기 위해 기준점 수 및 중복도에 변화에 따른 정확성을 평가해보았다. 실험 결과 도로 양 끝에 분포한 2개의 기준점으로 충분한 정확도를 얻을 수 있었으며 60%의 중복도로 도로표지의 좌표를 산출하는데 활용할 수 있었다.

• Journal of Ecology and Environment
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• 제41권5호
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• pp.145-151
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• 2017

Background: Conventional bird observation methods are line survey or point count method by bare eyes or through binoculars or telescopes. But in this study, the possibility of monitoring waterbirds using drones beyond the conventional research methods was explored. It also describes the direction of producing and accumulating images of waterbird habitats as a method to efficiently determine changes in waterbird habitats. Results: From the study, it was concluded that waterbird monitoring using drones was a new monitoring technique which could be applied to the field and 26 kinds of waterbirds were observed. In the case of a drone with a single lens, it was difficult to identify objects because the size of the subject was too small at a certain altitude. In this case, zoom lens can be an alternative. It has also been verified that image analysis software can be used to accumulate images of waterbird habitats. Conclusions: If various kinds of advanced drones and cameras are used, it would be possible to monitor larger areas including the areas that are difficult for human access and to observe more waterbirds and wider habitats.

• 한국산업융합학회 논문집
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• 제26권6_3호
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• pp.1325-1332
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• 2023

Recently, much research is being conducted based on point cloud data for the growth of innovations such as construction automation in the transportation field and virtual national space. This data is often measured through remote control in terrain that is difficult for humans to access using devices such as UAVs and UGVs. Drones, one of the UAVs, are mainly used to acquire point cloud data, but photogrammetry using a vision camera, which takes a lot of time to create a point cloud map, is difficult to apply in construction sites where the terrain changes periodically and surveying is difficult. In this paper, we developed a point cloud mapping system by adopting non-repetitive scanning LiDAR and attempted to confirm improvements through field application. For accuracy analysis, a point cloud map was created through a 2 minute 40 second flight and about 30 seconds of software post-processing on a terrain measuring 144.5 × 138.8 m. As a result of comparing the actual measured distance for structures with an average of 4 m, an average error of 4.3 cm was recorded, confirming that the performance was within the error range applicable to the field.

• 한국측량학회지
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• 제36권3호
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• pp.127-134
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• 2018

Electric transmission towers are facilities to transport electrical power from a plant to an electrical substation. The towers are connected using power lines that are installed with a proper sag by loosening the cable to lower the tension and to secure the sufficient clearance from the ground or nearby objects. The power line sag may extend over the tolerance due to the weather such as strong winds, temperature changes, and a heavy snowfall. Therefore the periodical mapping of the power lines is required but the poor accessibility to the power lines limit the work because most power lines are placed at the mountain area. In addition, the manual mapping of the power lines is also time-consuming either using the terrestrial surveying or the aerial surveying. Therefore we utilized multiple overlapping images acquired from a low-cost drone to automatically reconstruct the power lines in the object space. Two overlapping images are selected for epipolar image resampling, followed by the line extraction for the resampled images and the redundant images. The extracted lines from the epipolar images are matched together and reconstructed for the power lines primitive that are noisy because of the multiple line matches. They are filtered using the extracted line information from the redundant images for final power lines points. The experiment result showed that the proposed method successfully generated parabolic curves of power lines by interpolating the power lines points though the line extraction and reconstruction were not complete in some part due to the lack of the image contrast.

• 한국측량학회지
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• 제36권6호
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• pp.565-572
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• 2018

최근 들어 운용비용이 저렴하고 신속한 데이터 획득 및 처리가 가능한 무인항공기(드론)를 이용한 측량 및 지도 제작이 활발히 진행되고 있으며, 그 활용도는 지형 변화분석, 시설물 모니터링, 농업, 임업 등 여러 분야로 확장되고 있다. 드론의 높은 활용도의 바탕에는 높은 공간 정확도의 획득이 가능하다는데 있으며, 관련하여 드론 기반 공간 정확도의 평가 결과가 여러 연구를 통해 보고되었다. 대부분의 연구는 잘 분포된 지상기준점을 활용하여 획득 가능한 정확도를 분석한 경우이며, 부분적으로 기준점의 개수의 변화에 따른 정확성을 평가한 경우가 있다. 본 연구에서는 도로, 관로, 철도 등 선형 대상지에 드론을 이용한 측량을 수행할 경우 획득 가능한 공간 정확성을 확인하기 위해, 기준점 배치를 여러 조합으로 나누어 정확성을 평가 해보았다. 선형 대상지를 따라 기준점의 편위 및 밀도에 따른 정확성을 평가하였고, 추가적으로 카메라 캘리브레이션의 영향, 횡중복 스트립 개수에 따른 정확성 또한 평가하였다. 실험 결과 기준점의 밀도에 비해 기준점 배치의 편위가 정확성에 더 큰 악영향을 주었으며, 미리 카메라 캘리브레이션을 수행하고 사용하는 것이 현장 셀프 캘리브레이션에 비해 기준점의 배치나 개수가 충분치 못한 경우에 오차를 줄일 수 있었다. 또한, 선형 방향으로의 스트립 수를 늘리는 것은 정확도 향상에 큰 도움이 되지 않았다.

• 대한원격탐사학회지
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• 제40권2호
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• pp.151-166
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• 2024

해안쓰레기 문제는 전 세계적으로 환경에 대한 심각한 위협이 되고 있다. 본 연구에서는 딥러닝과 원격탐사 기술을 활용하여 해안쓰레기의 모니터링 방법을 개선하고자 하였다. 이를 위해 You Only Look Once (YOLO)v8 모델을 이용한 객체 탐지 기법을 적용하여 우리나라 주요 해안쓰레기 11종에 대한 대규모 이미지 데이터셋을 구축하고, 실시간으로 쓰레기를 탐지 및 분석할 수 있는 프로토콜(Protocol)을 제안한다. 낙동강 하구에 위치한 신자도를 대상으로 드론 이미지 촬영 및 자체 개발한 YOLOv8 기반의 분석 프로그램을 적용하여 해안쓰레기 성상별 핫스팟을 식별하였다. 이러한 매핑(Mapping) 및 분석 기법의 적용은 해안쓰레기 관리에 효과적으로 활용될 수 있을 것으로 기대된다.