Journal of the Korean Society of Marine Environment & Safety (해양환경안전학회지)

The Korean Society of Marine Environment and safety (해양환경안전학회)
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Hazardous and Noxious Substances (HNSs) Styrene Detection Using Spectral Matching and Mixture Analysis Methods

분광정합 및 혼합 분석 방법을 활용한 위험·유해물질 스티렌 탐지

  • Jae-Jin Park (Department of Earth Science Education, Seoul National University) ;
  • Kyung-Ae Park (Department of Earth Science Education, Seoul National University) ;
  • Tae-Sung Kim (Korea Research Institute of Ships and Ocean Engineering) ;
  • Moonjin Lee (Korea Research Institute of Ships and Ocean Engineering)
  • 박재진 (서울대학교 지구과학교육과) ;
  • 박경애 (서울대학교 지구과학교육과) ;
  • 김태성 (선박해양플랜트연구소) ;
  • 이문진 (선박해양플랜트연구소 )
  • Received : 2022.10.13
  • Accepted : 2022.12.28
  • Published : 2022.12.31
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Abstract

As the volume of marine hazardous and noxious substances (HNSs) transported in domestic and overseas seas increases, the risk of HNS spill accidents is gradually increasing. HNS leaked into the sea causes destruction of marine ecosystems, pollution of the marine environment, and human casualties. Secondary accidents accompanied by fire and explosion are possible. Therefore, various types of HNSs must be rapidly detected, and a control strategy suitable for the characteristics of each substance must be established. In this study, the ground HNS spill experiment process and application result of detection algorithms were presented based on hyperspectral remote sensing. For this, styrene was spilled in an outdoor pool in Brest, France, and simultaneous observation was performed through a hyperspectral sensor. Pure styrene and seawater spectra were extracted by applying principal component analysis (PCA) and the N-Findr method. In addition, pixels in hyperspectral image were classified with styrene and seawater by applying spectral matching techniques such as spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), and spectral angle mapper (SAM). As a result, the SDS and SSV techniques showed good styrene detection results, and the total extent of styrene was estimated to be approximately 1.03 m2. The study is expected to play a major role in marine HNS monitoring.

국내외 해상 위험·유해물질(Hazardous and Noxious Substances, HNS) 물동량이 증가함에 따라 HNS 유출 사고의 위험성이 점차 높아지고 있다. 해상에 유출된 HNS는 해양생태계 파괴를 비롯한 해양환경 오염 및 인명피해를 유발하며, 화재 및 폭발 등을 동반한 2차 사고 발생 가능성도 존재한다. 따라서 해상 HNS의 신속한 탐지와 각 물질 특성에 적합한 방제전략을 수립해야 한다. 본 연구에서는 초분광 원격탐사에 기반한 지상 HNS 유출 실험 과정 및 탐지 알고리즘 적용 결과를 제시하고자 한다. 이를 위해 프랑스 브레스트 지역의 야외 풀장에서 스티렌을 유출한 후 초분광 센서를 활용한 동시 관측을 수행하였다. 순수 스티렌 및 해수 스펙트럼은 주성분 분석(principal component analysis, PCA) 및 N-Findr 기법을 적용하여 추출하였으며, 또한 spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), spectral angle mapper (SAM)을 포함한 분광정합 기법을 적용하여 초분광 영상 내 화소들을 스티렌 및 해수로 분류하였다. 그 결과 SDS 및 SSV 기법이 우수한 스티렌 탐지 결과를 보여주었으며, 스티렌 총 면적은 약 1.03 m2로 추정되었다. 본 연구는 해상 HNS 모니터링에 주요 역할을 할 것으로 기대된다.

Keywords

Acknowledgement

본 논문은 2022년 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구(20150340, 위험유해물질(HNS)사고 관리기술 개발)이다.

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