Quantification of hydrocarbon abundance in soils using deep learning with dropout and hyperspectral data

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@article{fbf7f8a60e3f4ae29226ab37c456d239,

title = "Quantification of hydrocarbon abundance in soils using deep learning with dropout and hyperspectral data",

keywords = "Mechanical, aeronautical and manufacturing engineering",

author = "Ahmed, \{Asmau M.\} and Olga Duran and Yahya Zweiri and Mike Smith",

year = "2019",

month = aug,

day = "19",

doi = "10.3390/rs11161938",

language = "English",

volume = "11",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "16",

}

TY - JOUR

T1 - Quantification of hydrocarbon abundance in soils using deep learning with dropout and hyperspectral data

AU - Ahmed, Asmau M.

AU - Duran, Olga

AU - Zweiri, Yahya

AU - Smith, Mike

PY - 2019/8/19

Y1 - 2019/8/19

KW - Mechanical, aeronautical and manufacturing engineering

U2 - 10.3390/rs11161938

DO - 10.3390/rs11161938

M3 - Article

SN - 2072-4292

VL - 11

JO - Remote Sensing

JF - Remote Sensing

IS - 16

M1 - 1938

ER -