Multi-source data fusion for land use classification using deep learning

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Multi-source data fusion for land use classification using deep learning

Land use classification is the process of characterising the land by the purposes of usage. It is significantly important since timely and accurate land use information is essential for land monitoring and management. Traditional classification relies heavily on labour-intensive land survey, which i...

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Bibliographic Details
Main Author:	Cao, Rui
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2021
Subjects:	Land use classification; data fusion; deep learning; remote sensing; geospatial big data
Online Access:	https://eprints.nottingham.ac.uk/63100/

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