• Title/Summary/Keyword: EO/IR

Search Result 106, Processing Time 0.031 seconds

Multi-Function Compact Frequency Synthesizer for Ka Band Seeker (Ka 대역 탐색기용 다기능 초소형 주파수 합성기)

  • An, Se-Hwan;Lee, Man-Hee;Kim, Hong-Rak
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.27 no.10
    • /
    • pp.926-934
    • /
    • 2016
  • In this paper, we designed a compact frequency synthesizer with multi-function for Ka-band seeker. DDS(Direct Digital Synthesizer) is applied to generate various waveform and to cover high-speed frequency sweep. In order to reduce size, waveform generator and frequency up-converter are integrated in one module. Proposed frequency synthesizer provides precise detection and tracking waveform for low and high speed targets. It is observed that fabricated synthesizer performs $0.45{\mu}sec$ frequency switching time and -93.69 dBc/Hz phase noise at offset 1 kHz. The size of the synthesizer is kept within 120 mm width, 120 mm length and 22 mm height.

A Deep Learning-based Real-time Deblurring Algorithm on HD Resolution (HD 해상도에서 실시간 구동이 가능한 딥러닝 기반 블러 제거 알고리즘)

  • Shim, Kyujin;Ko, Kangwook;Yoon, Sungjoon;Ha, Namkoo;Lee, Minseok;Jang, Hyunsung;Kwon, Kuyong;Kim, Eunjoon;Kim, Changick
    • Journal of Broadcast Engineering
    • /
    • v.27 no.1
    • /
    • pp.3-12
    • /
    • 2022
  • Image deblurring aims to remove image blur, which can be generated while shooting the pictures by the movement of objects, camera shake, blurring of focus, and so forth. With the rise in popularity of smartphones, it is common to carry portable digital cameras daily, so image deblurring techniques have become more significant recently. Originally, image deblurring techniques have been studied using traditional optimization techniques. Then with the recent attention on deep learning, deblurring methods based on convolutional neural networks have been actively proposed. However, most of them have been developed while focusing on better performance. Therefore, it is not easy to use in real situations due to the speed of their algorithms. To tackle this problem, we propose a novel deep learning-based deblurring algorithm that can be operated in real-time on HD resolution. In addition, we improved the training and inference process and could increase the performance of our model without any significant effect on the speed and the speed without any significant effect on the performance. As a result, our algorithm achieves real-time performance by processing 33.74 frames per second at 1280×720 resolution. Furthermore, it shows excellent performance compared to its speed with a PSNR of 29.78 and SSIM of 0.9287 with the GoPro dataset.

Thermal Performance Test of the On-Board Blackbody System in the orbital environment for Non-Uniformity Correction of an Infrared Sensor (적외선 센서 교정용 위성 탑재 흑체 시스템의 궤도 환경 열성능 평가 시험)

  • Pil-Gyeong, Choi;Hye-In, Kim;Hyun-Ung, Oh;Byung-Cheol, Yoo;Kyoung-Muk, Lee;Jin-Suk, Hong
    • Journal of Aerospace System Engineering
    • /
    • v.16 no.6
    • /
    • pp.90-98
    • /
    • 2022
  • The output of an infrared (IR) sensor mounted on an EO/IR payload is known to change during a mission period in an orbital environment. As it is required to calibrate the output of the IR sensor periodically to obtain high-quality images, an on-board black body system is mounted on the payload. All systems operating in the space environment require performance tests on ground to verify the target performance in the orbital environment. Therefore, it is also required to test the black body system to verify the performance of the surface temperature uniformity and the estimated representative temperature error within the target temperature range in the operating environment. In this study, calibration of the estimated representative temperature error and verification of the thermal performance of the black body system were conducted by performed a performance test in the thermal vacuum chamber applying deep space radiation cooling effect of an orbital environment.

Deposition of Heavy Metal Oxide Glass Thin Films by R.F. Magnetron Sputtering (스퍼터링 방법을 이용한 중금속 산화물 유리 박막의 증착)

  • Kim, Woong-Kwern;Heo, Jong;Je, Jung-Ho
    • Journal of the Korean Ceramic Society
    • /
    • v.32 no.6
    • /
    • pp.669-676
    • /
    • 1995
  • In this study, EO glass films were deposited by R.F. magnetron sputtering using EO glass target. The glass formation of the EO film was greatly dependent on the substrate temperature and the crystallization started at approximately 28$0^{\circ}C$. As the temperature of the substrate or the oxygen content in the sputtering gas increased, UV/VIS/NIR absorption edge moved toward longer wavelength. A wave guiding phenomenon was observed from the prism-coupler experiment and a fluorescence of 1.06${\mu}{\textrm}{m}$ originated from 4Fe3/2longrightarrow4I11/2 transition of Nd3+ was detected from the film containing Nd3+ ions.

  • PDF

Recycling of the Waste Cellulose ―II. Preparation of Hydroxyethyl Cellulose from Knit-Cotton-Waste― (셀룰로오스계 폐기물의 재활용 ―II. 폐면으로부터 hydroxyethyl cellulose 제조―)

  • Lee, Sung Goo;Ihm, Sung Dam;Kim, Byung Suk;Mun, Sung Phil;Rhee, John Moon
    • Textile Coloration and Finishing
    • /
    • v.7 no.2
    • /
    • pp.32-39
    • /
    • 1995
  • Various grades of hydroxyethyl cellulose (HEC, MS 0.65-3.20) were prepared throngh reaction of the knit-cotton-waste with ethylene oxide(EO). The knit-cotton-waste was composed of 98% of $\alpha$-cellulose and 2% of other components, and the cellulose was highly pure. The molar ratio of EO to knit-cotton-waste and that of NaOH to knit-cotton-waste, and the agitation speed were the important factors determining the molar substitution(MS) during the preparation of HEC. The MS of HEC was remarkably increased with increasing molar ratio of EO' to knit-cotton-waste. When the molar ratio of EO to knit-cotton-waste was 3.5, that of NaOH to knit-cotton-waste was 1.25, and agitation speed was 450rpm, it was possible to prepare HEC of MS 2.5. The structure and crystallinity of HECs prepared were determined by FT-IR and X-ray diffraction.

  • PDF

A CMOS IR-UWB RFIC for Location Based Systems (위치 기반 시스템을 위한 CMOS IR-UWB RFIC)

  • Lee, Jung Moo;Park, Myung Chul;Eo, Yun Seong
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.52 no.12
    • /
    • pp.67-73
    • /
    • 2015
  • This paper presents a fully integrated 3 - 5 GHz IR-UWB(impulse radio ultra-wide band) RFIC for Location based system. The receiver architecture adopts the energy detection method and for high speed sampling, the equivalent time sampling technique using the integrated DLL(delay locked loop) and 4 bit ADC. The digitally synthesized UWB impulse generator with low power consumption is also designed. The designed IR-UWB RFIC is implemented on $0.18{\mu}m$ CMOS technology. The receiver's sensitivity is -85.7 dBm and the current consumption of receiver and transmitter is 32 mA and 25.5 mA respectively at 1.8 V supply.

An Efficient Design for an Ultra-Wideband Microstrip-to-CPS Transition Applicable to Millimeter-Wave Systems (밀리미터파 시스템에 적용 가능한 초광대역 마이크로스트립-CPS 전이구조 설계)

  • Kim, Young-Gon;Kim, Youn-Jin;Kim, Kang Wook
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.26 no.3
    • /
    • pp.268-275
    • /
    • 2015
  • A clear and efficient design method for ultra-wideband microstrip-to-coplanar stripline(CPS) transition, which is based on the analytical expressions of the whole transitional structure, is presented. The conformal mapping is applied to obtain the characteristic impedance of the transitional structure within 3.2 % accuracy as compared with the EM-simulation results. The transition is designed to provide broadband impedance matching using Klopfenstein taper. The implemented transition performs less than 1 dB insertion loss per transition for frequencies from 5.39~40 GHz.

A Study of the Intelligent Coastal Surveillance System using EO/IR Vessel Image Classification (선박의 EO/IR 영상식별을 이용한 연안 감시 체계의 연구)

  • Jang, Won-Seok;Jung, Dong-Han;Kim, Joo-Yong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2018.05a
    • /
    • pp.230-231
    • /
    • 2018
  • Ports and coastal areas that serve as national corridors have threats such as smuggling ships, enemy infiltration ships and pirate ships. To prevent intrusion of intrusive vessels, a system is needed to continuously monitor the coastal area and detect their intrusion. However, it is difficult for surveillance personnel to identify threatened vessels while monitoring large coastal areas. In this paper, we propose a system that can monitor coastal and harbor area and automatically detect ships entering the Navigation Inhibit Area to generate alarms and classify the types of ships by image classification.

  • PDF

Augmented Reality Algorithm Selection Scheme for Military Multiple Image Analysis (국방용 다중 영상분석 증강현실 알고리즘 선택기술)

  • Yoo, Heouk-kyun;Chung, Jong-Moon
    • Journal of Internet Computing and Services
    • /
    • v.20 no.4
    • /
    • pp.55-61
    • /
    • 2019
  • In this paper, if images are acquired in all-time situations through various sensors (EO/IR, SAR, GMTI, LiDAR) used for defense purposes, the images can be analyzed and expressed in augmented reality(AR). Various algorithms are used to process images with augmented reality, and depending on the situation, it is necessary to decide which algorithms to select and use. Through the performance comparison (error rate, processing time, accuracy) of SIFT, SURF, ORB, and BRISK, the representative augmented reality algorithm, it is analyzed and proposed which augmented reality algorithm is effective to use under various situations in the defense field.