Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data

Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data

Terrestrial hydrocarbon spills have the potential to cause significant soil degradation across large areas. Identification and remedial measures taken at an early stage are therefore important. Reflectance spectroscopy is a rapid remote sensing method that has proven capable of characterizing hydroc...

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Bibliographic Details
Main Authors: Asmau M. Ahmed, Olga Duran, Yahya Zweiri, Mike Smith
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
spectral unmixing
deep learning
dropout
hydrocarbons
three-term backpropagation
Online Access:https://www.mdpi.com/2072-4292/11/16/1938

Internet

https://www.mdpi.com/2072-4292/11/16/1938

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