• 한국멀티미디어학회논문지
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• 제10권6호
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• pp.726-736
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• 2007

In this paper, real-time image scanning system using linescan cameras is designed. The system is specially designed to diagnose and analyse the conditions of tunnels such as crack widths through the captured images. The system consists of two major parts, the image acquisition system and the image merging system. To save scanned image data into storage media in real-time, the image acquisition system has been designed with two different control and management modules. The control modules are in charge of controlling the hardware device and the management modules handle system resources so that the scanned images are safely saved to the magnetic storage devices. The system can be mounted to various kinds of vehicles. After taking images, the image merging system generates extended images by combining saved images. Several tests are conducted in laboratory as well as in the field. In the laboratory simulation, both systems are tested several times and upgraded. In the field-testing, the image acquisition system is mounted to a specially designed vehicle and images of the interior surface of the tunnel are captured. The system is successfully tested in a real tunnel with a vehicle at the speed of 20 km/h. The captured images of the tunnel condition including cracks are vivid enough for an expert to diagnose the state of the tunnel using images instead of seeing through his/her eyes.

• 대한공간정보학회지
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• 제16권3호
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• pp.65-69
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• 2008

본 연구의 목적은 수중의 다양한 공간정보를 무인으로 획득할 수 있는 무인원격선체를 개발하는데 있다. 무인원격 선체는 GPS, 음향측심기, 사이드스캔소나, 지층탐사기 등을 탑재하고 자동제어에 의한 방법으로 내수면 및 연안해역의 수중공간정보를 획득하는 기능을 수행한다. 무인 원격 수중 공간정보 획득장비를 개발함으로써, 기존의 측량선을 이용하기가 어려운 저수지, 댐 등의 지역 및 오염으로 인해 사람이 접근하기 불가능한 지역의 각종 수중정보 취득이 가능할 것으로 기대된다. 또한 하나의 선체에 다중빔 에코사운더, 영상센서, 수질측정 센서 등 사용목적에 맞는 센서를 장착하여 다목적으로 사용할 수 있으므로 내수면과 관련된 정보의 획득을 필요로 하는 거의 모든 산업분야에서의 경제적인 활용이 가능할 것으로 판단된다.

• 제어로봇시스템학회논문지
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• 제22권10호
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• pp.811-816
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• 2016

In light of recently developed 3D printers for rapid prototyping, there is increasing attention on the 3D scanner as a 3D data acquisition system for an existing object. This paper presents a prototypical 3D scanner based on a striped laser light image. In order to solve the problem of shadowy areas, the proposed 3D scanner has two cameras with one laser light source. By using a horizontal rotation table and a rotational arm rotating about the latitudinal axis, the scanner is able to scan in all directions. To remove an additional optical filter for laser light pixel extraction of an image, we have adopted a differential image method with laser light modulation. Experimental results show that the scanner's 3D data acquisition performance exhibited less than 0.2 mm of measurement error. Therefore, this scanner has proven that it is possible to reconstruct an object's 3D surface from point cloud data using a 3D scanner, enabling reproduction of the object using a commercially available 3D printer.

• 한국위성정보통신학회논문지
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• 제6권2호
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• pp.1-9
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• 2011

국내 최초의 정지궤도 관측 위성인 천리안(통신해양기상위성)이 2010년 6월 27일에 성공적으로 발사되었다. 천리안에의 기상탑재체와 해양탑재체의 원시 영상은 지상에서 처리 과정을 거쳐 사용자에게 전달되다. 한국항공우주연구원의 주도로 국내 개발된 송수신자료전처리시스템은 원시 영상에 복사 및 기하 보정을 수행하고, 전처리된 영상과 부가 자료들을 위성을 통해 사용자들에게 분배하는 기능을 수행한다. 궤도상 시험을 성공적으로 완료한 송수신자료전처리시스템은 기상위성센터, 해양위성센터, 그리고 위성운영센터에 설치되어 현재 정상 운영 중에 있다. 궤도상 시험 기간 동안 송수신자료전처리시스템의 기능과 성능에 대한 검증은 1) 영상 송수신, 2) 기상 및 해양 영상의 전처리, 그리고 3) 사용자 분배 기능으로 나뉘어 수행되었다. 이 논문은 천리안 위성 발사 후 수행된 송수신자료전처리시스템의 궤도상 시험 운영 검증 결과를 기술한다.

• 항공우주시스템공학회지
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• 제3권4호
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• pp.11-18
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• 2009

This paper is about EO sensor module control based on the image processing. The main purpose of this research is acquiring a latitude and longitude of the target located on the ground by using image processing. For image processing, OpenCV is employed which is a computer vision library originally developed by Intel, and ATmega128 is used for the EO sensor module control. This task also involves realization of control programs and acquisition of sensor view angle for the position of the target.

• 대한원격탐사학회지
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• 제34권2_1호
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• pp.227-236
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• 2018

다양한 목적으로 개발되는 영상획득용 카메라는 고품질의 영상정보 획득을 위해 초점제어 기능이 탑재될 수 있다. 영상의 품질향상을 위한 후처리 보정에 앞서, 광학계와 영상센서를 비롯한 하드웨어를 통해 우수한 1차 영상 획득이 선행되어야 한다. 고해상도의 영상 촬영 임무를 수행하는 위성탑재용 고해상도 카메라의 경우, 고정된 광학계로 인해 일반 카메라와 달리 초점제어가 필수요건은 아니지만, 여러 외부요인으로 인해 해당 기능이 필요할 수 있다. 위성용 전자광학카메라의 초점제어방식에는 모터를 사용하는 기본적인 방식이 있으나, 이에 비해 다양한 장점(설계, 설치, 운용, 오염, 고신뢰성 등)을 갖는 열 제어에 의한 초점제어 방법이 대안으로 제시될 수 있다. 본 논문에서는 카메라경통에 설치된 온도센서와 히터를 이용한 초점제어방법을 설계하고 구현한 결과를 설명한다. 제안하는 초점제어방법에서, 측정된 온도 정보는 칼만필터를 통해 제어에 필요한 온도 데이터로 변환되고, 이 값을 이용하여 구현된 PI 제어기를 통해 열에 의한 초점제어가 수행된다.

• 한국멀티미디어학회논문지
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• 제21권7호
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• pp.764-771
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• 2018

In this paper, we propose a high-quality image acquisition algorithm using only a single image, which the high-quality image is normally referred as HDR ones. In order to acquire the HDR image, conventional methods need many images having different exposure values at the same scene and should delicately adjust the color values for a bit-expansion or an exposure fusion. Thus, they require considerable calculations and complex structures. Therefore, the proposed algorithm suggests a completely new approach using one image for the high-quality image acquisition by applying statistical difference and histogram manipulation, or histogram specification, techniques. The techniques could control the pixel's statistical distribution of the input image into the desired one through the local and the global modifications, respectively. As the result, the quality of the proposed algorithm is better than those of conventional methods implemented in commercial image editing softwares.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.219-222
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• 2007

Today, use of high resolution satellite image with at least 1m resolution is expanding into many more areas including forest, river way, city, seashore and so forth for disaster prevention. Interest in this medium is increasing among the general public due to the roll-out to the private sector as Google earth, Virtual Earth and so forth. However, pre-processing process that revises the geometrical distortion that result at the time of photographing is required in order to use high resolution satellite image. The purpose of this research is to search the most accurate GCP(Ground Control Point) information acquisition method that is used for the revision of high resolution satellite image's geometrical distortion through automated processing. Through this, it is possible to contribute to increasing the level of accuracy at the time of high resolution satellite image revision and to secure promptness.

• International Journal of Internet, Broadcasting and Communication
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• 제8권1호
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• pp.64-68
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• 2016

These fields are integrated to visualize and finalize the proposed development, in simulation environment. SCADA (supervisory control and data acquisition) systems and distributed control systems (DCSs) are widely deployed in all over the world, which are designed to control the industrial infrastructures, in real ways. To supervise and control the various parts of designed systems; trends to require a deep knowledge to understand the overall functional needs of industries, which could be a big challenge. Industrial field devices (or network sensors) are usually distributed in many locations and are controlled from centralized site (or main control center); the communication provides various signs of security issues. To handle these issues, the research contribution will twofold: a method using cryptography is deployed in critical systems for security purposes and overall transmission is controlled from main controller site. At controller site, multimedia components are employed to control the overall transmission graphically, such as system communication, bytes flows, security embedded parameters and others, by the means of multimedia technology.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.111.1-111
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• 2002

System configuration 1. First is the image acquisition part 2. Second part is for creating the vector image and for processing the obtained facial image. This part is for finding the facial area from the skin color. To do this, we can first find the skin color area with the highest weight from eigenface that consists of eigenvector. And then, we can create the vector image of eigenface from the obtained facial area. 3. Third is recognition module portion.