Number of items: 4.
Ahmed, Asmau Mukhtar
(2019)
Hydrocarbon quantification using neural networks and deep
learning based hyperspectral unmixing.
(PhD thesis), Kingston University,
.
Ahmed, Asmau M., Duran, Olga, Zweiri, Yahya and Smith, Mike
(2019)
Quantification of hydrocarbon abundance in soils using deep learning with dropout and hyperspectral data.
Remote Sensing, 11(16),
p. 1938.
ISSN (online) 2072-4292
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.
10789
ISSN (print) 0277-786X
ISBN 9781510621619
Ahmed, Asmau M., Duran, Olga, Zweiri, Yahya and Smith, Mike
(2017)
Hybrid spectral unmixing : using artificial neural networks for linear/non-linear switching.
Remote Sensing, 9(8),
p. 775.
ISSN (online) 2072-4292
This list was generated on Sat Oct 12 06:21:26 2024 BST.