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Hazardous Noxious Substance Detection Based on Ground Experiment and Hyperspectral Remote Sensing

Authors
Park, Jae-JinPark, Kyung-AeFoucher, Pierre-YvesDeliot, PhilippeFloch, Stephane LeKim, Tae-SungOh, SangwooLee, Moonjin
Issue Date
1월-2021
Publisher
MDPI
Keywords
hazardous and noxious substance; hyperspectral; endmember; abundance fraction
Citation
REMOTE SENSING, v.13, no.2, pp 1 - 18
Pages
18
Journal Title
REMOTE SENSING
Volume
13
Number
2
Start Page
1
End Page
18
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/180
DOI
10.3390/rs13020318
ISSN
2072-4292
2072-4292
Abstract
With an increase in the overseas maritime transport of hazardous and noxious substances (HNSs), HNS-related spill accidents are on the rise. Thus, there is a need to completely understand the physical and chemical properties of HNSs. This can be achieved through establishing a library of spectral characteristics with respect to wavelengths from visible and near-infrared (VNIR) bands to shortwave infrared (SWIR) wavelengths. In this study, a ground HNS measurement experiment was conducted for artificially spilled HNS by using two hyperspectral cameras at VNIR and SWIR wavelengths. Representative HNSs such as styrene and toluene were spilled into an outdoor pool and their spectral characteristics were obtained. The relative ratio of HNS to seawater decreased and increased at 550 nm and showed different constant ratios at the SWIR wavelength. Noise removal and dimensional compression procedures were conducted by applying principal component analysis on HNS hyperspectral images. Pure HNS and seawater endmember spectra were extracted using four spectral mixture techniques-N-FINDR, pixel purity index (PPI), independent component analysis (ICA), and vertex component analysis (VCA). The accuracy of detection values of styrene and toluene through the comparison of the abundance fraction were 99.42% and 99.56%, respectively. The results of this study are useful for spectrum-based HNS detection in marine HNS accidents.
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