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

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.

Localization and recognition of specific targets in land-based hyperspectral images based on combined spatial and spectral information

“…Because hyperspectral images contain rich spatial and spectral information, hyperspectral imaging has unique advantages in classification and detection of ground objects, and is widely used in agriculture, medicine, military and other fields [2][3][4][5][6][7]. In recent years, with the development of landbased imaging platforms and the continuous improvement of miniaturization and intelligence of imaging spectrometers, scholars have gradually attached importance to the study of land-based hyperspectral images [8]. Terrestrial hyperspectral images refer to hyperspectral images taken on the ground or near the ground using imaging spec-trometers.…”

STLAR: A localization and authenticity recognition method for specific targets based on land‐based hyperspectral images

“…Hyperspectral imaging is widely used in agriculture, medicine, military and other fields [1][2][3][4]. In recent years, with the development of land-based imaging platforms and the continuous improvement of imaging spectrometers, scholars have gradually attached importance to the study of land-based hyperspectral images [5]. Land-based hyperspectral images refer to the hyperspectral images taken on the ground or near the ground using imaging spectrometers.…”