• Title/Summary/Keyword: 센서 보정

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Analysis of input parameters for the absolute radiometric calibration of KOMPSAT-2 MSC images (다목적실용위성 2호 MSC 영상의 절대복사보정을 위한 입력자료 특성 분석)

  • Chi, Jun-Hwa;Yoon, Jong-Suk;Lee, Kyu-Sung
    • Proceedings of the KSRS Conference
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    • 2007.03a
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    • pp.20-24
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    • 2007
  • 센서의 광학 해상력에 따라 센서에 도달하는 에너지의 앙은 영상의 화소값으로 변환되므로,이 관계는 위성 영상의 정량적인 광학적 특성을 이해하기 위한 바탕이 되며,영상의 질을 유지하기 위한 척도가 되기도 한다. 위성영상의 광학적 특성은 ON 값 을 실제 지표물의 반사에너지 값인 Radiance와 Reflectance로 의 변환을 통하여 추정할 수 있으며,이러한 과정을 절대복사보정(Absolute Radiometric Calibration) 이라고 한다. 절대복사보정 과정에서 센서에 도달하는 태양 에너지의 양을 추정하기 위하여 복사전달모델이 사용된다. 태양 에너지가 대기를 통과함에 따라 여러 가지 상호 작용이 일어나게 되므로 복사 전달모델을 사용하기 위해서는 다양한 입력 변수가 필요하게 된다. 이러한 입력 변수로는 지표물의 반사율, 대기자료,그리고 센서의 특성 등이 포함되며, 이 연구에서는 KOMPSAT-2 위성의 MSC 영상의 절대복사보정 과정에서 복사전달모델의 결과에 영향을 미치는 입력 변수의 특성을 살펴보고자 한다.

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A Study on the Calibrate Method of Volumetric Moisture Content Measuring Sensor(CS616) (TDR(Time Domain Reflectometry) 방식의 함수센서 (CS616) 보정방법에 관한 연구)

  • Cho, Myung-Hwan;Kim, Hong-Man;Jee, Kee-Hwan;Park, Joo-Young
    • 한국방재학회:학술대회논문집
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    • 2010.02a
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    • pp.89.1-89.1
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    • 2010
  • 본 연구는 토양의 함수비를 측정하기 위하여 TDR(Time Domain Reflectometry, 시간영역 광전자파 분석기) 방식의 함수센서(CS616)에 대한 올바른 보정시험을 제안하기 위하여 피복두께, 센서간 간섭 영향, 온도의 영향 및 다짐율 변화에 대한 실내 시험을 수행하였다. 시험 결과 피복두께, 센서간 간섭 영향 및 온도의 영향은 체적함수비의 크기에 미치는 영향은 크지 않은 것으로 나타났으며, 오히려 보정시험시 정확한 체적함수비 조건을 유지하는 것이 중요할 것으로 사료된다. 또한 보정시험을 수행할 때 다짐율까지 고려한 시험을 수행하는 노력에 비하여 얻어지는 체적함수비의 정확도의 크기는 다짐율과 주기를 고려하여 얻어진 회귀식을 살펴보면 주기에 비하여 상대적으로 영향이 작은 것으로 사료된다.

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A Study on the Calibration Method for Dynamic Shock Sensor Using Hopkinson Pressure Bar System (홉킨슨 압력봉(Hopkinson pressure bar)을 이용한 동적 충격센서 보정기술 연구)

  • Oh, Se-Wook;Min, Gyeong-Jo;Cho, Sang-Ho
    • Explosives and Blasting
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    • v.38 no.1
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    • pp.23-29
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    • 2020
  • The measurement technique with dynamic shock sensor was widely used in academic experiment for blasting and impact. However, most of dynamic sensors are expensive so that it needs to be protected by external housing structures or damping devices. In this study, the calibration method for dynamic shock sensor under the distortion by external structures. Hopkinson pressure bar system was adopted to measure the input acceleration to the sensor, and it was compared to the acceleration measured by accelerometer with customized damping device. Consequently, it is conclued that this method can be useful to calibrate the dynamic shock sensor under the linear distortion.

Black Body Design and Verification for Non-Uniformity Correction of Imaging Sensor and Uncertainty Analysis (영상센서의 비균일 응답특성 보정을 위한 흑체 설계 및 성능검증과 보정오차 분석)

  • Shin, Somin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.3
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    • pp.240-245
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    • 2013
  • Each pixel of InfraRed(IR) sensor differently responds to IR light as time elapses or the sensor on/off operation is repeated. As a result, the quality of IR sensor image is deteriorated, and therefore NUC(Non-uniformity Correction) is periodically needed for IR sensor. In this paper, in order to perform NUC in the Satellite, on-board V-grooved blackbody is designed with a baffle so that the emissivity of black body is to be higher than 0.995 as well as the temperature deviation is less than $1^{\circ}C$ in the range of the infrared wave length from 3.3 to $5.2{\mu}m$. To check its performance, the emissivity and the surface temperature of the blackbody by TRT(Transfer Reference Thermometer) and IR Micrometer scanner are measured, respectively. From the results, black body design is verified and the uncertainty of NUC is estimated through the measurement results.

An Adaptive Pointing and Correction Algorithm Using the Genetic Algorithm (유전자 알고리즘을 이용한 적응적 포인팅 및 보정 알고리즘)

  • Jo, Jung-Jae;Kim, Young-Chul
    • Journal of Korea Multimedia Society
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    • v.16 no.1
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    • pp.67-74
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    • 2013
  • In this paper, we propose the pointing and correction algorithm for optimized performance based on Bluetooth communication. The error from the accelerometer sensor's output must be carefully managed as the accelerometer sensor is more sensitive to data change compared to that of the gyroscope sensor. Thus, we minimize the noise by applying the Kalman filter to data for each axis from the accelerometer. In addition, we can also obtain effect compensating the hand tremor by applying the Kalman filter to the data variation for x and y. In this study, we extract data through the Quaternion mapping process on data from the accelerometer and gyroscope. In turn, we can obtain a tilt compensation by applying a compensation algorithm with acceleration of the gravity of the extracted data. Moreover, in order to correct the inaccuracy on smart sensor due to the rapid movement of a device, we propose a adaptive pointing and correction algorithm using the genetic approach to generate the initial population depending on the user.

Pose Calibration of Inertial Measurement Units on Joint-Constrained Rigid Bodies (관절체에 고정된 관성 센서의 위치 및 자세 보정 기법)

  • Kim, Sinyoung;Kim, Hyejin;Lee, Sung-Hee
    • Journal of the Korea Computer Graphics Society
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    • v.19 no.4
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    • pp.13-22
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    • 2013
  • A motion capture system is widely used in movies, computer game, and computer animation industries because it allows for creating realistic human motions efficiently. The inertial motion capture system has several advantages over more popular vision-based systems in terms of the required space and cost. However, it suffers from low accuracy due to the relatively high noise levels of the inertial sensors. In particular, the accelerometer used for measuring gravity direction loses the accuracy when the sensor is moving with non-zero linear acceleration. In this paper, we propose a method to remove the linear acceleration component from the accelerometer data in order to improve the accuracy of measuring gravity direction. In addition, we develop a simple method to calibrate the joint axis of a link to which an inertial sensor belongs as well as the position of a sensor with respect to the link. The calibration enables attaching inertial sensors in an arbitrary position and orientation with respect to a link.

Development of Correction Formulas for KMA AAOS Soil Moisture Observation Data (기상청 농업기상관측망 토양수분 관측자료 보정식 개발)

  • Choi, Sung-Won;Park, Juhan;Kang, Minseok;Kim, Jongho;Sohn, Seungwon;Cho, Sungsik;Chun, Hyenchung;Jung, Ki-Yuol
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.1
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    • pp.13-34
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    • 2022
  • Soil moisture data have been collected at 11 agrometeorological stations operated by The Korea Meteorological Administration (KMA). This study aimed to verify the accuracy of soil moisture data of KMA and develop a correction formula to be applied to improve their quality. The soil of the observation field was sampled to analyze its physical properties that affect soil water content. Soil texture was classified to be sandy loam and loamy sand at most sites. The bulk density of the soil samples was about 1.5 g/cm3 on average. The content of silt and clay was also closely related to bulk density and water holding capacity. The EnviroSCAN model, which was used as a reference sensor, was calibrated using the self-manufactured "reference soil moisture observation system". Comparison between the calibrated reference sensor and the field sensor of KMA was conducted at least three times at each of the 11 sites. Overall, the trend of fluctuations over time in the measured values of the two sensors appeared similar. Still, there were sites where the latter had relatively lower soil moisture values than the former. A linear correction formula was derived for each site and depth using the range and average of the observed data for the given period. This correction formula resulted in an improvement in agreement between sensor values at the Suwon site. In addition, the detailed approach was developed to estimate the correction value for the period in which a correction formula was not calculated. In summary, the correction of soil moisture data at a regular time interval, e.g., twice a year, would be recommended for all observation sites to improve the quality of soil moisture observation data.

A Comparative Study of Geocoding Methods for Radarsat Image - According to the DEM Resolutions - (Radarsat 영상의 기하보정 방법에 대한 비교 연구 - DEM 해상도에 따라 -)

  • 한동엽;박민호;김용일
    • Korean Journal of Remote Sensing
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    • v.14 no.1
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    • pp.69-82
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    • 1998
  • SAR imagery can overcome the limitations of electro-optical sensor imagery and provide us Information which plays a supplementary role. But it is necessary to remove a variety of geometric errors in SAR imagery. An accurate geometric correction of SAR imagery is not easy task to achieve, though some techniques and theories are introduced. We also have difficulties such as transformation problem between 'International' ellipsoid in Radarsat system and 'Bessel' ellipsoid. Two widely used correction method, one is made by simulated image, and the other by collinearity equation, usually use DEM. In this study, the merits and demerits of geocoding methods respectively and the effective method for Korean terrain were found.

Calibration of Accelerometer in Gyro-Free Inertial Navigation System using Encoders (엔코더를 이용한 Gyro-Free 관성 항법 장치의 가속도 센서 보정)

  • Kim, Jae-Yong;Kim, Jung-Min;Woo, Seung-Beom;Kim, Sung-Shin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.100-103
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    • 2011
  • GFINS(gyro-free inertial navigation system)는 가속도 센서에서 계측된 데이터를 2차 적분하여 yaw를 계산한다. 하지만 가속도 센서는 외란과 적분 오차에 의한 누적오차가 지속적으로 커지는 문제가 있다. 따라서 본 논문에서는 퍼지 추론 시스템(FIS: fuzzy inference system)을 이용해 가속도 센서의 데이터를 보정함으로써 누적오차를 줄이는 방법을 제안한다. 제안된 방법의 성능평가를 위해, 직접 설계한 전방향 AGV를 이용하여 직선과 측면, 대각에 대해 반복 실험하였다. 실험 결과, 제안된 방법이 가속도 센서의 데이터를 효과적으로 보정하는 것을 확인하였다.

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A Design of CMOS ROIC with Reduced Fixed Pattern Noise for Infrared Image Sensor Applications (고정패턴잡음 제거를 위한 적외선 이미지 센서용 CMOS 검출회로 설계에 관한 연구)

  • Shin, Ho-Hyun;Hwang, Sang-Jun;Yu, Seung-Woo;Sung, Man-Young
    • Proceedings of the KIEE Conference
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    • 2006.10a
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    • pp.16-17
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    • 2006
  • 적외선 이미지 센서용으로 사용되는 마이크로 볼로미터 센서는 process variation으의 인하여 모든 볼로미터 센서의 셀이 정확한 저항값을 갖지 못하여 입력신호에 왜곡을 가져 온다. 본 논문에서는 적외선 이미지 센서용 CMOS 검출회로를 설계하는 데 있어, 이러한 볼로미터 셀 어레이의 고정패턴잡음(Fixed Pattern hoise)을 최소화하는 방법에 대해 연구하였다. 기존의 단일 입력 방식 검출회로는 볼로미터 셀어레이의 고정패턴잡음을 보정하기 위하여 추가적인 보정 회로를 필요로 하였다. 이러한 문제점을 해결하기 위해서 본 논문에서는 차동 입력 방식 검출회로를 제안하였으며, 이를 적용하여 출력을 살펴본 결과 추가적인 보정회로 없이 20%의 노이즈 감쇠효과를 얻을 수 있다. 연구 결과를 바탕으로 32${\times}$32 크기를 갖는 셀어레이의 볼로미터를 구성하여 전체 칩을 설계하였으며 컴퓨터 시물레이션을 통해 결과를 분석하였다.

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