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http://dx.doi.org/10.7837/kosomes.2022.28.s.001

Hazardous and Noxious Substances (HNSs) Styrene Detection Using Spectral Matching and Mixture Analysis Methods  

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)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.28, no.spc, 2022 , pp. 1-10 More about this Journal
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.
Keywords
Hazardous and noxious substances; Remote sensing; Hyperspectral; Detection; Styrene;
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Times Cited By KSCI : 6  (Citation Analysis)
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