• Title/Summary/Keyword: Emissivity Compensation

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EXPERIMENTAL STUDY ON MEASUREMENT OF EMISSIVITY FOR ANALYSIS OF SNU-RCCS

  • CHO YUN-JE;KIM MOON OH;PARK GOON-CHERL
    • Nuclear Engineering and Technology
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    • v.38 no.1
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    • pp.99-108
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    • 2006
  • SNU-RCCS is a water pool type RCCS (Reactor Cavity Cooling System) developed for VHTR (Very High Temperature Reactor) application by SNU (Seoul National University). Since radiation heat transfer is the major process of passive heat removal in a RCCS, it is important to determine the precise emissivity of the reactor vessel. Review studies have used a constant emissivity in the passive heat removal analysis, even though the emissivity depends on many factors such as temperature, surface roughness, oxidation level, wavelength, direction, atmosphere conditions, etc. Therefore, information on the emissivity of a given material in a real RCCS is essential in order to properly analyze the radiation heat transfer in a VHTR. The objectives of this study are to develop a method for compensation of the factors affecting the emissivity measurement using an infrared thermometer and to estimate the true emissivity from the measured emissivity via the developed method, especially in the SNU-RCCS environment. From this viewpoint, we investigated factors such as the attenuation effect of the window, filling gas, and the effect of background radiation on the emissivity measurements. The emissivity of the vessel surface of the SNU-RCCS facility was then measured using a sight tube. The background radiation was subsequently removed from the measured emissivity by solving a simultaneous equation. Finally, the calculated emissivity was compared with the measured emissivity in a separate emissivity measurement device, yielding good agreement with the emissivity increase with vessel temperature in a range of 0.82 to 0.88.

Scan Mirror Emissivity Compensation for the COMS MI (천리안위성 기상탑재체의 스캔미러 방사율 보정)

  • S대, Seok-Bae;Jin, Kyoung-Wook;Ahn, Sang-Il
    • Aerospace Engineering and Technology
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    • v.10 no.1
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    • pp.156-166
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    • 2011
  • COMS (Communication Ocean and Meteorological Satellite), the Korea's first geostationary Earth observation satellite, started to operate 24 hours to observe Land/Ocean/Atmosphere with the MI (Meteorological Imager) and GOCI (Geostationary Ocean Color Imager). After the successful completion of the IOT (In-Orbit Test), the satellite is in normal operation from April of 2011. This paper describes an algorithm for scan mirror emissivity compensation of the COMS MI and its software implementation.

In Orbit Radiometric Calibration Tests of COMS MI Infrared Channels

  • Jin, Kyoung-Wook;Seo, Seok-Bae
    • Korean Journal of Remote Sensing
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    • v.27 no.3
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    • pp.369-377
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    • 2011
  • Since well-calibrated satellite data is critical for their applications, calibration and validation of COMS science data was one of the key activities during the IOT. COMS MI radiometric calibration process was divided into two phases according to the out-gassing of the sensor: calibrations of the visible (VI) and infrared (IR) channels. Different from the VIS calibration, the calibration steps for the IR channels followed additional processes to secure their radiometric performances. Primary calibration steps of the IR were scan mirror emissivity correction, midnight effect compensation, slope averaging and 1/f noise compensation after a nominal calibration. First, the scan mirror emissivity correction was conducted to compensate the variability of the scan mirror emissivity driven by the coating material on the scan mirror. Second, the midnight effect correction was performed to remove unreasonable high spikes of the slope values caused by the excessive radiative sources during the local midnight. After these steps, the residual (difference between the previous slope and the given slope) was filtered by a smoothing routine to eliminate the remnant random noises. The 1/f noise compensation was also carried out to filter out the lower frequency noises caused from the electronics in the Imager. With through calibration processes during the entire IOT period, the calibrated IR data showed excellent performances.