A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment

A comparison of the integrated fuzzy object-based deep learning approach and three machine learning techniques for land use/cover change monitoring and environmental impacts assessment

Recent improvements in the spatial, temporal, and spectral resolution of satellite images necessitate (semi-)automated classification and information extraction approaches. Therefore, we developed an integrated fuzzy object-based image analysis and deep learning (FOBIA-DL) approach for monitoring th...

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Bibliographic Details
Main Authors: Bakhtiar Feizizadeh, Keyvan Mohammadzade Alajujeh, Tobia Lakes, Thomas Blaschke, Davoud Omarzadeh
Format: Article
Language:English
Published: Taylor & Francis Group 2021-11-01
Series:GIScience & Remote Sensing
Subjects:
integrated approach
fuzzy object-base
deep learning cnn
machine learning algorithms
spatial uncertainty
land use/cover
change detection
urmia lake
Online Access:http://dx.doi.org/10.1080/15481603.2021.2000350

Internet

http://dx.doi.org/10.1080/15481603.2021.2000350

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