Quantitative analysis of petroleum hydrocarbon contaminated soils using spectroscopy, spectral unmixing and deep neural networks

Ahmed, Asmau M, Duran, Olga, Zweiri, Yahya and Smith, Mike (2018) Quantitative analysis of petroleum hydrocarbon contaminated soils using spectroscopy, spectral unmixing and deep neural networks. In: Bruzzone, Lorenzo and Bovolo, Francesca, (eds.) Proceedings of SPIE : Image and Signal Processing for Remote Sensing XXIV. Washington, U.S. : SPIE. ISSN (print) 0277-786X ISBN 9781510621619

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Item Type: Book Section
Additional Information: Published version of Ahmed, Asmau M, Duran, Olga, Zweiri, Yahya and Smith, Mike (2018) Quantitative analysis of petroleum hydrocarbon contaminated soils using spectroscopy, spectral unmixing and deep neural networks. In: SPIE Remote Sensing: Image and Signal Processing for Remote Sensing XXIV; 10-13 Sep 2018, Berlin, Germany.
Research Area: Mechanical, aeronautical and manufacturing engineering
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing > School of Engineering
Depositing User: Anna Englund
Date Deposited: 08 Feb 2019 09:41
Last Modified: 08 Feb 2019 09:41
DOI: https://doi.org/10.1117/12.2325434
URI: http://eprints.kingston.ac.uk/id/eprint/42568

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