• Title/Summary/Keyword: Military Image

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Real Time Image Processing of Thermal Imaging System (열상장비의 실시간 영상 신호처리)

  • Hong Seok Min;Yu Wee Kyung;Yoon Eun Suk
    • Journal of the Korea Institute of Military Science and Technology
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    • v.7 no.4 s.19
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    • pp.79-86
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    • 2004
  • This paper has presented to the design results of the analog and digital signal processor for the 2nd generation thermal imaging system using $480\times6$ infrared focal plane array In order to correct non-uniformities of detector arrays, we have developed the 2-point correction method using the thermo electric cooler. Additionally, to enhance the image of low contrast and improve the detection capability, we developed the new technique of histogram processing being suitable for the characteristics of contrast distribution of thermal imagery. Through these image processing techniques, we obtained a high qualify thermal image and acquired good result.

Optical System Design and Image Processing for Hyperspectral Imaging Systems (초분광 분해기의 광학계 설계 및 영상 처리)

  • Heo, A-Young;Choi, Seung-Won;Lee, Jae-Hoon;Kim, Tae-Hyeong;Park, Dong-Jo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.2
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    • pp.328-335
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    • 2010
  • A hyperspectral imaging spectrometer has shown significant advantages in performance over other existing ones for remote sensing applications. It can collect hundreds of narrow, adjacent spectral bands for each image, which provides a wealth of information on unique spectral characteristics of objects. We have developed a compact hyperspectral imaging system that successively shows high spatial and spectral resolutions and fast data processing performance. In this paper, we present an overview of the hyperspectral imaging system including the strucure of geometrical optics and several image processing schemes such as wavelength calibration and noise reduction for image data on Visible and Near-Infrared(VNIR) and Shortwave-Infrared(SWIR) band.

Performance Comparison of Image Transmission in Underwater Acoustic Environment (수중 음향 환경에서의 영상 전송 성능 비교분석)

  • Lee, Seung-Woo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.3
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    • pp.19-29
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    • 2008
  • Underwater acoustic(UWA) communication is one of the most difficult field in terms of severe channel environments such as multipath propagation, high temporal and spatial variability of channel conditions. Therefore, it is important to model and analyze the characteristics of underwater acoustic channel such as multipath propagation, transmission loss, reverberation, and ambient noise. In this paper, UWA communication channel is modeled with a ray tracing method and applied to image transmission. Quadrature phase shift keying(QPSK) and multichannel decision feedback equalizer(DFE) are utilized as phase-coherent modulation method and equalization technique, respectively. The objective is to improve the performance of the image transmission using vertical sensor array instead of single sensor in the viewpoint of bit error rate(BER), constellation diagram, and received image quality.

Development of a Tank Crew Protection System Using Moving Object Area Detection from Vision based (비전 기반 움직임 영역 탐지를 이용한 전차 승무원 보호 시스템 개발)

  • Choi, Kwang-Mo;Jang, Dong-Sik
    • Journal of the Korea Institute of Military Science and Technology
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    • v.8 no.2 s.21
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    • pp.14-21
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    • 2005
  • This paper describes the system for detecting the tank crew's(loader's) hand, arm, head and the upper half of the body in a danger area between the turret ceiling and the upper breech mechanism by computer vision-based method. This system informs danger of pressed to death to gunner and commander for the safety of operating mission. The camera mounted ort the top portion of the turret ceiling. The system sets search moving object from this image and detects by using change of image, laplacian operator and clustering algorithm in this area. It alarms the tank crews when it's judged that dangerous situation for operating mission. The result In this experiment shows that the detection rate maintains in $81{\sim}98$ percents.

A Study on Inspection Technology of Thermal Battery Electrolyte using Image Processing Method (영상처리 방법을 통한 열전지 전해질 검사기법 연구)

  • Ha, Sang-Hyeon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.6
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    • pp.820-826
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    • 2012
  • For the development of reliable thermal batteries, electrolyte is quite important because it is closely related to the performance and stability of thermal batteries. This paper describes general image processing method used for the inspection of molten-salt based electrolyte disk and also describes how we can apply this image processing method to the inspection of thermal battery electrolyte. Moreover we have found optimized image processing conditions to improve the discriminating ability of compaction defects such as non-uniform parts in an electrolyte.

A Data Hiding Method of Binary Images Using Pixel-value Weighting (이진 이미지에 대한 픽셀값 가중치를 이용한 자료 은닉 기법 연구)

  • Jung, Ki-Hyun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.4
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    • pp.68-75
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    • 2008
  • This paper proposes a new data hiding method for binary images using the weighting value of pixel-value differencing. The binary cover image is partitioned into non-overlapping sub-blocks and find the most suitable position to embed a secret bit for each sub-block. The proposed method calculates the weighted value for a sub-block to pivot a pixel to be changed. This improves the image quality of the stego-image. The experimental results show that the proposed method achieves a good visual quality and high capacity.

Enhanced Extraction of Traversable Region by Combining Scene Clustering with 3D World Modeling based on CCD/IR Image (CCD/IR 영상 기반의 3D 월드모델링과 클러스터링의 통합을 통한 주행영역 추출 성능 개선)

  • Kim, Jun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.4
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    • pp.107-115
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    • 2008
  • Accurate extraction of traversable region is a critical issue for autonomous navigation of unmanned ground vehicle(UGV). This paper introduces enhanced extraction of traversable region by combining scene clustering with 3D world modeling using CCD(Charge-Coupled Device)/IR(Infra Red) image. Scene clustering is developed with K-means algorithm based on CCD and IR image. 3D world modeling is developed by fusing CCD and IR stereo image. Enhanced extraction of traversable regions is obtained by combining feature of extraction with a clustering method and a geometric characteristic of terrain derived by 3D world modeling.

A Geometric Analysis of Frame Photography Using a Body-Fixed Image Sensor for Aerial Observation (공중관측용 몸체고정형 영상센서의 프레임촬영에 대한 기하학적 분석 방법)

  • Lee, Youngki;Jeong, Jinhong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.5
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    • pp.590-598
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    • 2019
  • Aerial photographs taken by an image sensor fixed on a flight body, e.g. without a gimbal, are generally distorted according to its attitude, altitude and angle of view in flight. This can result in a significant difficulty of analyzing geometric information which should be integrated for numerous still frames. In this study, a simulation method of observation performance that uses geometric relationships between navigation data and image data is suggested, and this method is shown to be very useful for easily examining the integrated information such as the total range of photography, the time of target acquisition, etc.

A Mechanism Study of a HyperSpectral Image Sensor for Nadir and Slant Range Operation (직하방과 빗각 촬영 운용을 위한 초분광 영상센서 구동방식에 관한 연구)

  • Lee, Kyeongyeon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.4
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    • pp.484-491
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    • 2019
  • General Hyperspectral Image Sensor acquires an image of line form such as a thin rectangle shape because of using 1D array Push Broom or Whisk Broom scanning method. A special mechanism is required for a Hyperspectral Image Sensor to operate for nadir and slant range. To design the mechanism, the characteristics of the flight motion and the overlap rate between consecutive frames were analyzed. Also, system requirements were proposed through modeling and simulation.

A Complex Valued ResNet Network Based Object Detection Algorithm in SAR Images (복소수 ResNet 네트워크 기반의 SAR 영상 물체 인식 알고리즘)

  • Hwang, Insu
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.4
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    • pp.392-400
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    • 2021
  • Unlike optical equipment, SAR(Synthetic Aperture Radar) has the advantage of obtaining images in all weather, and object detection in SAR images is an important issue. Generally, deep learning-based object detection was mainly performed in real-valued network using only amplitude of SAR image. Since the SAR image is complex data consist of amplitude and phase data, a complex-valued network is required. In this paper, a complex-valued ResNet network is proposed. SAR image object detection was performed by combining the ROI transformer detector specialized for aerial image detection and the proposed complex-valued ResNet. It was confirmed that higher accuracy was obtained in complex-valued network than in existing real-valued network.