• Title/Summary/Keyword: 전자광학 추적장비

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Research of FOV difference correction between Electro Optic Tracking System and Radar System (전자광학 추적장비와 레이더시스템 간의 표적탐색영역 차이 보상에 관한 연구)

  • Kwon, Kang-hoon;Kim, Young-gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.151-154
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    • 2013
  • We typically have a variety of equipment that can detect and track targets, and detect and track target quickly and accurately through the exchange of the information between each piece of equipment. These equipments have similar detection area(FOV), but some are different due to the limits of the resolution of the equipments. In this paper, we studied the method of reducing time to search and detect target, and also did the method of tracking automatically it.

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A Study on Dependency Tracking Target Aiming Systems Improvement of the Naval Electro Optical Tracking Systems (함정용 전자광학추적장비 종속추적 표적지향 개선에 관한 연구)

  • Shim, Bo-hyun;Jo, Hee-jin;Kim, Jang-eun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.9
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    • pp.125-131
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    • 2015
  • The simulation programs with the kalman filter for the naval Electro Optical Tracking System(EOTS) is presented. We achieve that the dependency tracking aiming systems performance of EOTS can be enhanced by minimizing the target information error which including transfer delay and measurement. According to our experiment results, kalman filter can be used for various electro optical systems to eliminate error value.

Improving compensation method of target detection area difference between Electro-optical tracking system and radar (전자광학추적장비와 레이더 사이의 표적탐지영역의 차이보상방법 개선)

  • Yoo, Hyeong-Gon;Kwon, Kang-Hoon;Kim, Young-Kil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.12
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    • pp.3023-3029
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    • 2013
  • This is an example we generally have a variety of equipment that can detect and track the targets and track them quickly and accurately through the information exchange among each piece of equipment. These equipment have similar detection areas (FOV), but some are different due to the limit of the resolution of the equipment. In this paper, we studied the method of reducing detection time and tracking the targets automatically.

Image Tracking Interference Minimize of Electro Optical Tracking System by MgF2 Nano Structure Antireflective Coating Films (MgF2 나노구조 반사방지막을 통한 함정용 전자광학추적장비 영상추적간섭 최소화)

  • Shim, Bo-Hyun;Jo, Hee-Jin
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.5
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    • pp.206-213
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    • 2015
  • An omni-directional, graded-index and textured ZnO nanorods with $MgF_2$ anti-reflective(AR) coating films for the electro optical tracking system(EOTS) by e-beam evaporation method are presented. we achieved that the graded index structure can minimize image tracking interference of EOTS which is comparable to a general AR coating films. Optimized ZnO nanorods with $MgF_2$ AR coating films lead to decreasing Fresnel reflection by gradient refractive index. According to our experiment results, ZnO nanorods with $MgF_2$ AR coating films can be used for various electro optical system to improve the optical performance.

Laser Signal Detection in Infrared Images Using Correlation Filter (코릴레이션 필터를 이용한 적외선영상에서의 레이저 신호 검출)

  • Si-Hyun-Mun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.868-869
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    • 2023
  • 보병이 레이저로 표적을 지시하고 원격사격통제체계가 타격하는 방식의 유무인 복합체계에서 전자광학 추적장비를 통한 표적지시용 레이저 검출은 필수적이다. 이를 위해 본 연구에서는 영상기반 코릴레이션 필터를 통해 적외선 레이저를 기존의 색상기반, 기계학습 등의 기법보다 효과적으로 검출하는 방법을 구현하였다. 또한 실험을 통해 주간에는 직사광선 노이즈를 효과적으로 제거하고 200mw 출력의 적외선 레이저를 10-20m 거리에서 검출, 노이즈가 없는 야간에는 100m 이상의 거리에서 안정적으로 검출하는 것을 확인하였다. 이를 통하여 원격사격통제체계의 전자광학 추적장비를 통한 표적지시 레이저 검출 및 추적 구현의 기반을 마련하였다.

전자광학 추적장치의 운용현황 및 발전추세

  • Yun, Sang-No
    • Defense and Technology
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    • no.1 s.155
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    • pp.30-37
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    • 1992
  • 앞으로 개발되는 각종 첨단 무기체계에서의 고도정밀 자동화 추세에 비추어 볼때, 전자광학 추적기(EOTS)는 필수적인 위치를 점하게 될 것으로 예상된다. 국내에서도 EOTS를 사격통제 장비로 채택한 무기체계가 일부운용 및 개발되고 있으나, 그 대부분을 선진기술에 의존하고 있는 실정이다. EOTS는 전자, 신소재, 광학, 컴퓨터 등의 첨단 핵심기술이 복합 응용된 분야로서 우리가 반드시 확보해야할 기술이며, 이에 대한 장기적인 기술육성이 절실히 요망된다

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Compensation of Geo-Pointing Error due to Information Transport Delay for Electro-Optical Tracking System (전자광학 추적장비의 정보 전송지연에 따른 좌표지향 오차보상)

  • Yim, Jong-Bin;Moon, Seong-Man;Lyou, Joon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.5
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    • pp.1-7
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    • 2011
  • EOTS(Electro-Optical Tracking System) provides stabilized images while tracking a moving target. The key of geo-pointing is the function that fixes EOTS's sight to a specific position(geo-point) throughout aircraft maneuvers. In this paper, a major error source for the geo-pointing is identified as the transport delay of navigation information, and an augmented Kalman filter is designed to estimate the present attitude of aircraft using delayed navigation information. Simulation results including the presented scheme shows that the error due to the information transport delay reduces under half.

Reliability Improvement of the Electro Optical Tracking System by using DLC Films (DLC 박막을 통한 전자광학추적장비 신뢰성 개선)

  • Shim, Bo-Hyun;Jo, Hee-Jin;Kim, Jang-Eun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.5
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    • pp.197-205
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    • 2015
  • The Diamond Like Carbon(DLC) films for the Electro Optical Tracking System(EOTS) by using Plasma Enhanced Chemical Vapor Deposition(PECVD) method is presented. We achieve that the DLC films can reduce the surface delamination of thermal observation sensor front window due to the high hardness, low friction and chemical inertness which is comparable to a Si film. According to our experiment results, DLC films can be used for various electro optical systems to eliminate surface delamination.

Improvement of Transfer Alignment Performance for Airborne EOTS (항공용 전자광학추적장비의 전달정렬 성능 개선)

  • Kim, Minsoo;Lee, Dogeun;Jeong, Chiun;Jeong, Jihee
    • Journal of Aerospace System Engineering
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    • v.16 no.4
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    • pp.60-67
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    • 2022
  • An Electro-Optical Tracking System (EOTS) is an electric optical system with EO/IR cameras, laser sensors, and an IMU. The EOTS calculates coordinates of targets, using attitude and acceleration measured by the IMU. In particular for an armed aircraft, the performance of the weapon system depends on how quickly and accurately it acquires the target coordinates. The IMU should be operated after alignment is complete, to meet the coordinate accuracy required by the weapon system so the initial stabilization time of the IMU should be reduced, by quickly measuring the attitude and acceleration. Alignment is the process of determining the initial attitude by resolving the attitude error of the IMU, and the IMU of mission equipment such as an airborne EOTS, uses velocity matching based on the velocity from GPS/INS for aircraft navigation. In this paper, a method is presented to improve the transfer alignment performance of the airborne EOTS, by maneuvering aircraft and the mission equipment. First, the performance factor of the alignment was identified, as a heading error through the velocity matching model and simulation results. Then acceleration maneuvers and attitude changes were necessary, to correct the error. As a result of flight tests applied to an EOTS on a OOO aircraft system, the transfer alignment performance was improved as the duration time was decreased, by more than five times when the aircraft accelerated by more than 0.2g and the EOTS was moving until 6.7deg/s.

A Study of Automatic Recognition on Target and Flame Based Gradient Vector Field Using Infrared Image (적외선 영상을 이용한 Gradient Vector Field 기반의 표적 및 화염 자동인식 연구)

  • Kim, Chun-Ho;Lee, Ju-Young
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.1
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    • pp.63-73
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    • 2021
  • This paper presents a algorithm for automatic target recognition robust to the influence of the flame in order to track the target by EOTS(Electro-Optical Targeting System) equipped on UAV(Unmanned Aerial Vehicle) when there is aerial target or marine target with flame at the same time. The proposed method converts infrared images of targets and flames into a gradient vector field, and applies each gradient magnitude to a polynomial curve fitting technique to extract polynomial coefficients, and learns them in a shallow neural network model to automatically recognize targets and flames. The performance of the proposed technique was confirmed by utilizing the various infrared image database of the target and flame. Using this algorithm, it can be applied to areas where collision avoidance, forest fire detection, automatic detection and recognition of targets in the air and sea during automatic flight of unmanned aircraft.