Electronics and Telecommunications Trends (전자통신동향분석)

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Recent Trends of Hyperspectral Imaging Technology

초분광 이미징 기술동향

  • Published : 2019.02.01
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Abstract

Over the past 30 years, significant developments have been made in hyperspectral imaging (HSI) technologies that can provide end users with rich spectral, spatial, and temporal information. Owing to the advances in miniaturization, cost reduction, real-time processing, and analytical methods, HSI technologies have a wide range of applications from remote-sensing to healthcare, military, and the environment. In this study, we focus on the latest trends of HSI technologies, analytical methods, and their applications. In particular, improved machine learning techniques, such as deep learning, allows the full use of HSI technologies in classification, clustering, and spectral mixture algorithms. Finally, we describe the status of HSI technology development for skin diagnostics.

Keywords

HJTOCM_2019_v34n1_86_f0001.png 이미지

(그림 1) 초분광 이미징 데이터 습득형태 (a) Point- scan (b) Line-scan (c) Area-scan (d) snapshot

HJTOCM_2019_v34n1_86_f0002.png 이미지

(그림 2) 초분광 이미징 시스템의 예

HJTOCM_2019_v34n1_86_f0003.png 이미지

(그림 3) 초분광 이미징 분석절차

HJTOCM_2019_v34n1_86_f0004.png 이미지

(그림 4) 토지의 Fe과 Zn의 분포도

HJTOCM_2019_v34n1_86_f0005.png 이미지

(그림 5) HSI를 이용하여 분류한 사과의 상태 분류

<표 1> 초분광 이미징 사용대역

HJTOCM_2019_v34n1_86_t0001.png 이미지

<표 2> 밴드수에 따른 분광 기술

HJTOCM_2019_v34n1_86_t0002.png 이미지

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