RT conference output
T1 Hyperspectral technology for oil spills characterisation by using feature selection
A1 Carrasco García, María Gema
A1 Rodríguez García, María Inmaculada
A1 González Enrique, Francisco Javier
A1 Ruiz Águilar, Juan Jesús
A1 Turias Domínguez, Ignacio José
A2 Ingeniería Industrial e Ingeniería Civil
A2 Ingeniería Informática
K1 hyperspectral
K1 hyperspectral sensor
K1 hyperspectral monitoring
K1 water pollution
K1 maritime traffic
K1 oil spills
K1 PCA
K1 SpecField 4
K1 spectral signature
K1 spectroradiometer
AB Hyperspectral technology is emerging as an innovative and smart solution for marine pollution and, specifically for oil spills from maritime traffic, as enables quick detection and supports early oil spill clean-up efforts. Nevertheless, before pollutants can be identified, it is essential to conduct a preliminary characterization of water and oil in water. A spectroradiometer has been utilized for this purpose, collecting spectral responses of polluted water, including various oil film thicknesses to determine concentration levels. The spectroradiometer provides continuous and highly detailed spectral signatures by acquiring information from the visible-near infrared (VNIR, 350-1000 nm) to short-wavelength infrared (SWIR, 1000-2500 nm) with a spectral resolution of 1 nm. To better understand the high-dimensional data generated by hyperspectral technology and to improve computing resources, a feature selection method is desirable to be applied. Principal Component Analysis (PCA) was employed as a statistical method for dimensionality reduction. The results of applying PCA to hyperspectral data were highly promising, as it successfully defined the original dataset in three-dimensional space while preserving 80% of the total variance. The capacity to represent the database in space has allowed visual interpretations, which have led to the identification of clusters by sample type. A better understanding of the nature of the spectral response has also been achieved, finding that the wavelengths between 449 and 549 nm and those in the infrared are the most influential in defining the signatures.
PB Elsevier
SN 2352-1465
YR 2023
FD 2023
LK http://hdl.handle.net/10498/32806
UL http://hdl.handle.net/10498/32806
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 21-sep-2026