• 센서학회지
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• 제32권5호
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• pp.285-289
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• 2023

Recently, the demand for lidar systems for autonomous driving is increasing, and research on Shortwave Infrared(SWIR) photodetectors for this purpose is being actively conducted. Most SWIR photodetectors currently being developed are based on InGaAs, and have the disadvantages of complex processes, high prices, and limitations in research due to monopoly. In addition, current SWIR photodetectors use lasers in the 905 nm wavelength band, which can pass through the pupil and cause damage to the retina. Therefore, it is required to develop a SWIR photodetector using a wavelength band of 1400 nm or more to be safe for human eyes, and to develop a material that can replace the proprietary InGaAs. PbS QDs are group 4-6 compound semiconductors whose absorption wavelength band can be adjusted from 1000 to 2700 nm, and have the advantage of being simple to process. Therefore, in this study, PbS QDs having an absorption wavelength peak of 1415 nm were synthesized, and a SWIR photodetector was fabricated using this. In addition, the photodetector's responsivity was improved by applying P3HT and ZnO NPs to improve electron hole mobility. As a result of the experiment, it was confirmed that the synthesized PbS QDs had excellent FWHM characteristics compared to commercial PbS QDs, and it was confirmed that the photodetector had a maximum current change of about 1.6 times.

• 한국군사과학기술학회지
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• 제13권2호
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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.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1027-1029
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• 2003

The primary uses of SWIR bands of ASTER data are to analyze geological features. In this study, we are attempting to evaluate the effect of using the narrow band A STER data for extracting information related to biophysical information of forest vegetation. ASTER and ETM+ data have been obtained simultaneously over the study area in Kyongan-River basin on May 8, 2003. Two data sets were initially processed to reduce atmospheric effects and converted to percent reflectance values, which make them comparable each other. ASTER and ETM+ reflectance were then analyzed by using the field survey data that include forest leaf area index (LAI), cover types, species composition, and stand density. Preliminary results show that ASTER reflectance were not much different to ETM+ reflectance to explain LAI.

• 자원환경지질
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• 제57권5호
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• pp.513-527
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• 2024

메탄은 이산화탄소에 이어 두 번째로 지구온난화에 미치는 영향이 큰 온실가스로, 기후변화에 상당한 영향을 미친다. 본 논문에서는 메탄 배출을 효율적으로 탐지하고 정량화하기 위해 사용되는 인공위성 원격탐사 기반 메탄 탐지 기술을 종합적으로 검토하고자 한다. 메탄 배출원은 크게 자연적 배출원(영구동토, 습지)과 인위적 배출원(농축산업, 석탄광, 석유 및 가스전, 폐기물 처리)으로 구분된다. 이 중 인위적 배출원에 대해 단파장적외선을 포함한 다양한 파장영역의 정보를 활용한 메탄 탐지의 원리와 이를 지원하는 주요 위성자료의 활용성에 대해 고찰하였다. 최근에는 위성자료를 활용한 메탄 탐지에서 딥러닝 기법을 적용한 연구들이 진행되고 있으며 이는 메탄 배출을 보다 정확하게 분석하는 데 기여하고 있다. 또한, 딥러닝 기법 적용 사례를 포함하여 전 지구, 지역 및 대형 사고 규모에서의 메탄 배출 탐지 사례를 종합적으로 검토하고 위성 기반 메탄 모니터링의 실용성을 평가하였다. 전 지구 규모에서는 Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI)와 같은 위성 센서를 사용한 연구들이 검토되었고 지역 규모에서는 주로 TROPOMI 자료와 상대적으로 고해상도의 위성자료(Sentinel-2 MultiSpectral Instrument (MSI), GHGSat Wide-Angle Fabry-Perot (WAF-P) Imaging Spectrometer 등)를 결합하여 메탄 배출 및 배출량을 탐지한 연구 사례를 소개하였다. 이러한 종합적 검토를 통해 위성 기반 메탄 탐지 기술의 현황과 활용성을 평가하였다.