Identifying Oil Spill Types Based on Remotely Sensed Reflectance Spectra and Multiple Machine Learning Algorithms

An accurate identification of oil spill types is the basis of determining the source of leakage, evaluating the potential damage, and deciding a plan of responses for an oil spill event. Despite sufficient studies that interpreted and analyzed hyperspectral data of oil spills, these studies that ide...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Ying Li, Qinglai Yu, Ming Xie, Zhenduo Zhang, Zhanjun Ma, Kai Cao
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	Hyperspectral remote sensing machine learning oil spill oil type identification
Online Access:	https://ieeexplore.ieee.org/document/9529039/