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Title: | Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance | Authors: | Koirala, Bikram Mboga, Nicholus Moelans, Robrecht Knaeps, Els Sels , Seppe WINTERS, Frederik Samsonova, Svetlana Vanlanduit, Steve Scheunders, Paul |
Issue Date: | 2023 | Publisher: | MDPI | Source: | Remote Sensing, 15 (20) (Art N° 4950) | Abstract: | In this work, we studied the potential of the visible, near-infrared, and shortwave infrared wavelength regions for monitoring oil spill incidents using optical reflectance. First, a simple physical model was designed for accurate oil thickness and volume estimation using optical reflectance. The developed method was made invariant to changes in acquisition and illumination conditions. In the next step, an algorithm based on an artificial neural network was designed to detect spilled oil. The training samples that are required to optimize the parameters of the network were generated by utilizing the proposed physical model. To validate the method, experiments were conducted in laboratory and outdoor scenarios for detection and thickness/volume estimation on four different oil types. In particular, we developed hyperspectral datasets of oil samples with varying thickness between 500 mu m and 5000 mu m acquired using two different sensors, an Agrispec spectrometer and an Imec snapscan shortwave infrared hyperspectral camera, in strictly controlled experimental settings. To demonstrate the potential of the proposed method in outdoor environments using solely the visible wavelength region, we monitored the evolution of artificially spilled oil in an outdoor scene with an RGB camera mounted on a drone. | Notes: | Koirala, B (corresponding author), Univ Antwerp CDE, Imec, Visionlab, Univ Pl 1, B-2610 Antwerp, Belgium. bikram.koirala@uantwerpen.be; nicholus.mboga@gim.be; robrecht.moelans@vito.be; els.knaeps@vito.be; svetlana.samsonova@portofantwerpbruges.com; frederik.w@riskmatrix.be; eppe.sels@uantwerpen.be; steve.vanlanduit@uantwerpen.be; paul.scheunders@uantwerpen.be |
Keywords: | hyperspectral;oil spill;multi-sensor dataset;RGB dataset | Document URI: | http://hdl.handle.net/1942/41885 | e-ISSN: | 2072-4292 | DOI: | 10.3390/rs15204950 | ISI #: | 001094285900001 | Rights: | 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance.pdf | Published version | 21.36 MB | Adobe PDF | View/Open |
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