• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.453-454
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• 2003

Most research materials (data), which are used for the study of digital mapping and digital elevation model (DEM) in the field of Remote Sensing and Aerial Photogrammetry are aerial photographs and satellite images. Additionally, they are also used for National land mapping, National land management, environment management, military purposes, resource exploration and Earth surface analysis etc. Although aerial photographs have high resolution, the data, which they contain, are not used for environment exploration that requires continuous observation because of problems caused by its coastline, as well as single - spectral and long-term periodic image. In addition to this, they are difficult to interpret precisely because Satellite Images are influenced by atmospheric phenomena at the time of photographing, and have by far much lower resolution than existing aerial photographs, while they have a great practical usability because they are mulitispectral images. The PKNU 2 is an aerial photographing system that is made to compensate with the weak points of existing aerial photograph and satellite images. It is able to take pictures of very high resolution using a color digital camera with 6 million pixels and a color infrared camera, and can take perpendicular photographs because PKNU 2 system has equipment that makes the cameras stay level. Moreover, it is very cheap to take pictures by using super light aircraft as a platform. It has much higher resolution than exiting aerial photographs and satellite images because it flies at a low altitude about 800m. The PKNU 2 can obtain multispectral images of visible to near infrared band so that it is good to manage environment and to make a classified diagram of vegetation.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.162-164
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• 2003

The multi-disciplinary research project Strengthening Local Authorities in Risk Management (SLARIM), initiated by ITC, includes three case study cities in Asia. An important question is: what are the essential data for risk management and how to access such data. The role of common sources (e.g. census data), data derived from remote sensing (high-resolution satellite imagery, aerial photos), and data from close sensing (field observation, including mobile GIS) to acquire essential risk management data will be discussed. Special attention is given to the question of the minimum area and to disaggregating population data. A few examples are given of Kathmandu / Lalitpur, Nepal.

• 한국농촌건축학회논문집
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• 제23권4호
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• pp.1-12
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• 2021

Recently, the use of unmanned aerial vehicles (UAVs) is increasing in the field of land information acquisition and terrain exploration through high-altitude aerial photography. High-altitude aerial photography is suitable for large-scale geographic information collection, but has the disadvantage that it is difficult to accurately collect small-scale geographic information. Therefore, this study used low-altitude UAV to monitor changes in small rural spaces around rural resources, and the results are as follows. First, the low-altitude aerial imagery had a very high spatial resolution, so it was effective in reading and analyzing topographic features. Second, an area with a large number of aerial images and a complex topography had a large amount of point clouds to be extracted, and the number of point clouds affects the three-dimensional quality of rural space. Third, 3D mapping technology using point cloud is effective for monitoring rural space and rural resources because it enables observation and comparison of parts that cannot be read from general aerial images. In this study, the possibility of rural space analysis of low-altitude UAV was verified through aerial photography and analysis, and the effect of 3D mapping on rural space monitoring was visually analyzed. If data acquired by low-altitude UAV are used in various forms such as GIS analysis and topographic map production it is expected to be used as basic data for rural planning to maintain and preserve the rural environment.

• 한국콘텐츠학회논문지
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• 제7권3호
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• pp.160-167
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• 2007

국가 경제의 급속한 성장에 따른 국토전반에 걸친 개발로 인해 국토 및 연안해역의 모습은 날로 변화하고 있다. 이러한 국토 및 연안해역의 변화를 효과적으로 탐지하고 적절한 이용계획을 수립하기 위해서는 해안선의 변화관측과 분석을 토대로 연안해역에 대한 모니터링체계의 확립이 시급한 실정이다. 최근 들어, 국토해안선제작 분야에서는 해안선의 경계구분에 대한 불명확한 정립과 관측 자료의 부족으로 정확한 해안선의 길이가 불명확한 상태이며, 기존의 자료에 대한 정확성과 신뢰성이 크게 떨어지고 있는 실정이다. 따라서 본 논문에서는 연구대상의 지역적 범위를 부산근교로 한정하였으며, 일정 간격의 항공사진을 이용하여 이 일대의 송정 해운대 광안리 송도 다대포 해안선에 대한 시계열적 변화를 분석하였다.

• 한국수소및신에너지학회논문집
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• 제25권4호
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• pp.393-404
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• 2014

Unmanned aerial vehicles (UAVs) have been applied to not only military missions like surveillance and reconnaissance but also commercial missions like meteorological observation, aerial photograph, communication relay, internet network build and disaster observation. Fuel cells make UAVs eco-friendly by using hydrogen. Proton exchange membrane fuel cells (PEMFCs) show low operation temperature, high efficiency, low noise and high energy density and those characterisitcs are well fitted with UAVs. Thus Fuel cell based UAVs have been actively developed in the world. Recently, fuel cell UAVs have started to develope for high altitude UAVs because target altitude of UAVs is expanded upto stratosphere altitude. Long endurance of UAVs is essential to improve effects of the missions. Improvement of UAV endurance time could be fulfilled by developing a hydrogen fuel storage system with high energy density and reducing the weight of UAVs. In this paper, research trend and analysis of fuel cell UAVs are introduced in terms of their altitude and endurance time and then the prospect of fuel cell UAVs are shown.

• 대한원격탐사학회지
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• 제33권6_1호
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• pp.971-980
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• 2017

본 연구에서는 경기도 대부도에 위치하고 있는 방아머리 해빈 인근 지역을 대상으로 과거의 디지털 항공영상을 이용하여 장기간의 해안선 변화 관측을 위한 방법을 제시하였다. 이를 위하여 약 9년 동안의 시간적 간격이 존재하는 항공영상을 취득하였고 항공삼각측량 수행을 위한 GPS-VRS 측량으로 정확한 지상기준점을 취득하였다. 또한 국립해양조사원에서 2013년도에 제공된 2차원 디지털 해안선 지도를 활용하였다. 이러한 다중 자료원을 이용하여 장기간의 방아머리 해빈의 해안선 변화율 산정을 통하여 연안침식에 관한 정량적 분석을 수행하였으며 그 결과 표고 2 m의 경우 최대 수평위치가 약 0.31 m 후퇴한 것으로 나타났으며 해안침식이 발생하였음을 확인할 수 있었다.

• 한국지리정보학회지
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• 제21권4호
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• pp.108-118
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• 2018

최근 4차산업혁명으로 대두되는 기술혁명 변화에 농업분야도 환경변화에 효율적으로 대응하기 위해 ICT 기술을 적용한 스마트팜 구현 등의 혁신을 추구하고 있다. 하지만 이러한 혁신을 위한 변화기술은 다양한 공간정보에 기반한 농작물 현황에 대한 분석과 예측 기법이 필요하다. 이러한 분석기법은 주기적이고 과학적인 공간정보에 기반할 때 보다 과학적인 결과를 도출할 수 있다. 본 연구에서는 기상변화에 따라 민감하게 반응하는 배추, 무, 마늘, 양파, 고추를 선정하여 항공사진측량을 이용한 재배면적 추정, 채소 작황 현황 및 연도별 변화를 분석하였다. 본 연구 결과로 농업분야의 원격탐사를 활용한 재배면적 산정 및 작황현황 분석 가능성을 제시하였으며, 공간정보 기반의 채소주산단지 시계열 정보는 효율적인 농업환경 관측 자료로 활용될 것으로 예측된다.

• 농촌계획
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• 제27권4호
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• pp.55-70
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• 2021

In this study, in the field of remote sensing, where the scope of application is rapidly expanding to fields such as land monitoring, disaster prediction, facility safety inspection, and maintenance of cultural properties, monitoring of rural space and surrounding environment using UAV is utilized. It was carried out to verify the possibility, and the following main results were derived. First, the aerial image taken with an unmanned aerial vehicle had a much higher image size and spatial resolution than the aerial image provided by the National Geographic Information Service. It was suitable for analysis due to its high accuracy. Second, the more the number of photographed photos and the more complex the terrain features, the more the point cloud included in the aerial image taken with the UAV was extracted. As the amount of point cloud increases, accurate 3D mapping is possible, For accurate 3D mapping, it is judged that a point cloud acquisition method for difficult-to-photograph parts in the air is required. Third, 3D mapping technology using point cloud is effective for monitoring rural space and rural resources because it enables observation and comparison of parts that cannot be read from general aerial images. Fourth, the digital elevation model(DEM) produced with aerial image taken with an UAV can visually express the altitude and shape of the topography of the study site, so it can be used as data to predict the effects of topographical changes due to changes in rural space. Therefore, it is possible to utilize various results using the data included in the aerial image taken by the UAV. In this study, the superiority of images acquired by UAV was verified by comparison with existing images, and the effect of 3D mapping on rural space monitoring was visually analyzed. If various types of spatial data such as GIS analysis and topographic map production are collected and utilized using data that can be acquired by unmanned aerial vehicles, it is expected to be used as basic data for rural planning to maintain and preserve the rural environment.

• International Journal of Aeronautical and Space Sciences
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• 제11권2호
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• pp.98-109
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• 2010

This paper deals with a new method of unmanned aerial vehicle (UAV) recovery when a UAV fails to get a global positioning system (GPS) signal at an unprepared site. The proposed method is based on the simultaneous localization and mapping (SLAM) algorithm. It is a process by which a vehicle can build a map of an unknown environment and simultaneously use this map to determine its position. Extensive research on SLAM algorithms proves that the error in the map reaches a lower limit, which is a function of the error that existed when the first observation was made. For this reason, the proposed method can help an inertial navigation system to prevent its error of divergence with regard to the vehicle position. In other words, it is possible that a UAV can navigate with reasonable positional accuracy in an unknown environment without the aid of GPS. This is the main idea of the present paper. Especially, this paper focuses on path planning that maximizes the discussed ability of a SLAM algorithm. In this work, a SLAM algorithm based on extended Kalman filter is used. For simplicity's sake, a blimp-type of UAV model is discussed and three-dimensional pointed-shape landmarks are considered. Finally, the proposed method is evaluated by a number of simulations.

• 한국산업융합학회 논문집
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• 제26권6_2호
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• pp.1073-1082
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• 2023

Thermal sensors, also called thermal infrared wavelength sensors, measure temperature based on the intensity of infrared signals that reach the sensor. The infrared signals recognized by the sensor include infrared wavelength(0.7~3.0㎛) and radiant infrared wavelength(3.0~100㎛). Infrared(IR) wavelengths are divided into five bands: near infrared(NIR), shortwave infrared(SWIR), midwave infrared(MWIR), longwave infrared(LWIR), and far infrared(FIR). Most thermal sensors use the LWIR to capture images. Thermal sensors measure the temperature of the target in a non-contact manner, and the data can be affected by the sensor's viewing angle between the target and the sensor, the amount of atmospheric water vapor (humidity), air temperature, and ground conditions. In this study, the characteristics of three thermal imaging sensor models that are widely used for observation using unmanned aerial vehicles were evaluated, and the optimal application field was determined.