• Title/Summary/Keyword: 다중대역광학센서

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Gravity Compensation Techniques for Enhancing Optical Performance in Satellite Multi-band Optical Sensor (위성용 다중대역광학센서의 광학 성능 향상을 위한 자중보상기법)

  • Do-hee Yoon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.27 no.2
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    • pp.127-139
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    • 2024
  • This paper discusses a gravity compensation technique designed to reduce wavefront error caused by gravity during the assembly and alignment of satellite multi-band optical sensor. For this study, the wavefront error caused by gravity was analyzed for the opto-mechanical structure of multi-band optical sensor. Wavefront error, an indicator of optical performance, was computed by using the displacements of optics calculated through structural analysis and optical sensitivity calculated through optical analysis. Since the calculated wavefront error caused by gravity exceeded the allocated budget, the gravity compensation technique was required. This compensation technique reduces wavefront error effectively by applying the compensation load to the appropriate position of the housing tube. This method successfully meets the wavefront error budget for all bands. In the future, a gravity compensation equipment applying this technique will be manufactured and used for assembly and alignment of multi-band optical sensor.

A Study on Selection of Optimal Satellite Imagery by Disaster Type (재해 유형별 최적 위성 영상 선정에 관한 연구)

  • Lim, SoMang;Kang, Ki-mook;Yu, WanSik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.279-279
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    • 2021
  • 위성영상정보는 센서의 종류, 취득, 분석, 재난과 위성영상 특성 매칭 등의 제약으로 재난 상황에서 제한적으로 사용되었다. 일반적으로 인공위성의 종류는 탑재한 센서의 정보제공 능력 범위에 따라 분류 가능하며 이에 따라 대상 범위가 결정된다. 본 연구에서는 재난의 예측, 탐지, 사후처리를 위한 위성자료의 취득과 활용을 위해 다양한 위성과 탑재된 센서의 궤도, 공간 해상도, 파장대 등의 특성에 대하여 분석하고 재난유형별로 최적 위성영상을 선정하였다. 행정안전부에서는 재난과 재해의 유형을 자연재난(10종)과 사회재난(27종)으로 분류하였다. 위성영상 활용이 가능한 재난 유형은 가시적으로 확인이 가능한 자연재난에 해당하며 그 중 태풍, 홍수, 가뭄, 산불 등 총 4종의 재난유형별로 가용한 최적의 위성영상을 분석하였다. 재난관측에 사용 가능한 대표적인 탑재체의 종류는 극궤도 지구관측 위성에서 광학과 SAR로 구분할 수 있다. 각 기본 특성에 따라 제공되는 정보의 종류가 분류되며 광학 센서는 태양복사 및 지구복사에너지 파장 영역 중 가시광선-근적외선-단파적외선-열적외선 파장대 영역의 분광 정보를 제공할 수 있는 다중 밴드들로 구성된다. 지표의 특정 대상이나 물질을 탐지하고 변화를 감지·분석하는데 유용하여 홍수, 태풍, 지진 등 자연 및 사회 재난·재해 관측에 유용하게 이용된다. SAR 센서는 장파장의 전자기파를 방출한 후 돌아오는 신호를 활용하여 대상에 대한 정보를 획득한다. 대기의 효과 및 요소를 투과하는 주파수 대역별 장파장 밴드 정보를 활용하여 고해상도의 대상 표면, 위치, 형태 등의 정보를 측량 및 관측하므로 중·광역 지역에 제약 없이 영상정보를 획득할 수 있어 산사태, 홍수, 지진, 등의 재난 모니터링에 유용하다. 이러한 다종 위성별 센서들의 특징(공간 해상도, 파장대별 밴드 특성, 관측폭, 재방문 주기 등)들을 분석하여 재난유형별로 가용한 무료/상용 지구관측위성을 분류한 결과 태풍에는 광역관측, 정지궤도 위성, 홍수에는 광학 및 SAR 고해상도 위성, 가뭄은 광역관측, 다분광 광학 위성 그리고 산불에는 정지궤도, 광학, SAR 위성이 적합함을 알 수 있다.

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Non-invasive Blood Glucose Detection Sensor System Based on Near-Infrared Spectroscopy (근적외선 분광법 기반 비침습식 혈당 검출 센서 시스템)

  • Kang, Young-Man;Han, Soon-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.991-1000
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    • 2021
  • Among non-invasive blood glucose detection technologies, the optical technique is a method that uses light reflection, absorption, and scattering characteristics when passing through a biological medium. It reduces pain or discomfort in measurement and has no risk of infection. So it is becoming a major flow of blood glucose detection research. Among them, near-infrared spectroscopy has a disadvantage in that the complexity increases when analyzing signals detected due to interferences between proteins and acids that share a similar absorption function with blood glucose molecules. In this study, a non-invasive sensor system with multiple near-infrared bands was designed and manufactured to alleviate the deterioration of blood glucose detection function that may occur due to skin absorption of near-infrared rays. A blood survey was conducted to verify the system, and the degree of blood glucose response in the blood was collected as spectral data, and the results of this study were quantitatively verified in terms of correlation between the data and blood glucose.

Assembly and Testing of a Visible and Near-infrared Spectrometer with a Shack-Hartmann Wavefront Sensor (샤크-하트만 센서를 이용한 가시광 및 근적외선 분광기 조립 및 평가)

  • Hwang, Sung Lyoung;Lee, Jun Ho;Jeong, Do Hwan;Hong, Jin Suk;Kim, Young Soo;Kim, Yeon Soo;Kim, Hyun Sook
    • Korean Journal of Optics and Photonics
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    • v.28 no.3
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    • pp.108-115
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    • 2017
  • We report the assembly procedure and performance evaluation of a visible and near-infrared spectrometer in the wavelength region of 400-900 nm, which is later to be combined with fore-optics (a telescope) to form a f/2.5 imaging spectrometer with a field of view of ${\pm}7.68^{\circ}$. The detector at the final image plane is a $640{\times}480$ charge-coupled device with a $24{\mu}m$ pixel size. The spectrometer is in an Offner relay configuration consisting of two concentric, spherical mirrors, the secondary of which is replaced by a convex grating mirror. A double-pass test method with an interferometer is often applied in the assembly process of precision optics, but was excluded from our study due to a large residual wavefront error (WFE) in optical design of 210 nm ($0.35{\lambda}$ at 600 nm) root-mean-square (RMS). This results in a single-path test method with a Shack-Hartmann sensor. The final assembly was tested to have a RMS WFE increase of less than 90 nm over the entire field of view, a keystone of 0.08 pixels, a smile of 1.13 pixels and a spectral resolution of 4.32 nm. During the procedure, we confirmed the validity of using a Shack-Hartmann wavefront sensor to monitor alignment in the assembly of an Offner-like spectrometer.

A Study of Tasseled Cap Transformation Coefficient for the Geostationary Ocean Color Imager (GOCI) (정지궤도 천리안위성 해양관측센서 GOCI의 Tasseled Cap 변환계수 산출연구)

  • Shin, Ji-Sun;Park, Wook;Won, Joong-Sun
    • Korean Journal of Remote Sensing
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    • v.30 no.2
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    • pp.275-292
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    • 2014
  • The objective of this study is to determine Tasseled Cap Transformation (TCT) coefficients for the Geostationary Ocean Color Imager (GOCI). TCT is traditional method of analyzing the characteristics of the land area from multi spectral sensor data. TCT coefficients for a new sensor must be estimated individually because of different sensor characteristics of each sensor. Although the primary objective of the GOCI is for ocean color study, one half of the scene covers land area with typical land observing channels in Visible-Near InfraRed (VNIR). The GOCI has a unique capability to acquire eight scenes per day. This advantage of high temporal resolution can be utilized for detecting daily variation of land surface. The GOCI TCT offers a great potential for application in near-real time analysis and interpretation of land cover characteristics. TCT generally represents information of "Brightness", "Greenness" and "Wetness". However, in the case of the GOCI is not able to provide "Wetness" due to lack of ShortWave InfraRed (SWIR) band. To maximize the utilization of high temporal resolution, "Wetness" should be provided. In order to obtain "Wetness", the linear regression method was used to align the GOCI Principal Component Analysis (PCA) space with the MODIS TCT space. The GOCI TCT coefficients obtained by this method have different values according to observation time due to the characteristics of geostationary earth orbit. To examine these differences, the correlation between the GOCI TCT and the MODIS TCT were compared. As a result, while the GOCI TCT coefficients of "Brightness" and "Greenness" were selected at 4h, the GOCI TCT coefficient of "Wetness" was selected at 2h. To assess the adequacy of the resulting GOCI TCT coefficients, the GOCI TCT data were compared to the MODIS TCT image and several land parameters. The land cover classification of the GOCI TCT image was expressed more precisely than the MODIS TCT image. The distribution of land cover classification of the GOCI TCT space showed meaningful results. Also, "Brightness", "Greenness", and "Wetness" of the GOCI TCT data showed a relatively high correlation with Albedo ($R^2$ = 0.75), Normalized Difference Vegetation Index (NDVI) ($R^2$ = 0.97), and Normalized Difference Moisture Index (NDMI) ($R^2$ = 0.77), respectively. These results indicate the suitability of the GOCI TCT coefficients.

Characteristics of Remote Sensors on KOMPSAT-I (다목적 실용위성 1호 탑재 센서의 특성)

  • 조영민;백홍렬
    • Korean Journal of Remote Sensing
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    • v.12 no.1
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    • pp.1-16
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    • 1996
  • Korea Aerospace Research Institute(KARI) is developing a Korea Multi-Purpose Satellite I(KOMPSAT-I) which accommodates Electro-Optical Camera(EOC), Ocean Color Imager(OCI), Space Physics Sensor(SPS) for cartography, ocean color monitoring, and space environment monitoring respectively. The satellite has the weight of about 500 kg and is operated on the sun synchronized orbit with the altitude of 685km, the orbit period of 98 minutes, and the orbit revisit time of 28days. The satellite will be launched in the third quarter of 1999 and its lifetime is more than 3 years. EOC has cartography mission to provide images for the production of scale maps, including digital elevation models, of Korea from a remote earth view in the KOMPSAT orbit. EOC collects panchromatic imagery with the ground sample distance(GSD) of 6.6m and the swath width of 15km at nadir through the visible spectral band of 510-730 nm. EOC scans the ground track of 800km per orbit by push-broom and body pointed method. OCI mission is worldwide ocean color monitoring for the study of biological oceanography. OCI is a multispectral imager generating 6 color ocean images with and <1km GSD by whisk-broom scanning method. OCI is designed to provide on-orbit spectral band selectability in the spectral range from 400nm to 900nm. The color images are collected through 6 primary spectral bands centered at 443, 490, 510, 555, 670, 865nm or 6 spectral bands selected in the spectral range via ground commands after launch. SPS consists of High Energy Particle Detector(HEPD) and Ionosphere Measurement Sensor(IMS). HEPD has mission to characterize the low altitude high energy particle environment and to study the effects of radiation environment on microelectronics. IMS measures densities and temperature of electrons in the ionosphere and monitors the ionospheric irregularities in KOMPSAT orbit.

NDVI Based on UAVs Mapping to Calculate the Damaged Areas of Chemical Accidents (화학물질사고 피해영역 산출을 위한 드론맵핑 기반의 정규식생지수 활용방안 연구)

  • Lim, Eontaek;Jung, Yonghan;Kim, Seongsam
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1837-1846
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    • 2022
  • The annual increase in chemical accidents is causing damage to life and the environment due to the spread and residual of substances. Environmental damage investigation is more difficult to determine the geographical scope and timing than human damage investigation. Considering the reality that there is a lack of professional investigation personnel, it is urgent to develop an efficient quantitative evaluation method. In order to improve this situation, this paper conducted a chemical accidents investigation using unmanned aerial vehicles(UAV) equipped with various sensors. The damaged area was calculated by Ortho-image and strength of agreement was calculated using the normalized difference vegetation index image. As a result, the Cohen's Kappa coefficient was 0.649 (threshold 0.7). However, there is a limitation in that analysis has been performed based on the pixel of the normalized difference vegetation index. Therefore, there is a need for a chemical accident investigation plan that overcomes the limitations.