An entropy-based analysis of GPR data for the assessment of railway ballast conditions

Francesco Benedetto; Fabio Tosti; Amir M. Alani

doi:10.1109/TGRS.2017.2683507

An entropy-based analysis of GPR data for the assessment of railway ballast conditions

Francesco Benedetto
, Fabio Tosti
, Amir M. Alani

Faculty of Engineering, Computing & the Environment

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	3900-3908
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	55
Issue number	7
Early online date	6 Apr 2017
DOIs	https://doi.org/10.1109/TGRS.2017.2683507
Publication status	Published - Jul 2017

Keywords

Civil engineering

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https://doi.org/10.1109/TGRS.2017.2683507

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title = "An entropy-based analysis of GPR data for the assessment of railway ballast conditions",

keywords = "Civil engineering",

author = "Francesco Benedetto and Fabio Tosti and Alani, \{Amir M.\}",

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language = "English",

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T1 - An entropy-based analysis of GPR data for the assessment of railway ballast conditions

AU - Benedetto, Francesco

AU - Tosti, Fabio

AU - Alani, Amir M.

PY - 2017/7

Y1 - 2017/7

KW - Civil engineering

UR - http://repository.uwl.ac.uk/id/eprint/3216/

U2 - 10.1109/TGRS.2017.2683507

DO - 10.1109/TGRS.2017.2683507

M3 - Article

SN - 0196-2892

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EP - 3908

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

IS - 7

ER -

An entropy-based analysis of GPR data for the assessment of railway ballast conditions

Keywords

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