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-Reference-Cited by-同舟云学术

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

Published:2021-11-17 Issue:8 Volume:58 Page:1543-1570
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Feizizadeh Bakhtiar¹²^ORCID,Mohammadzade Alajujeh Keyvan¹,Lakes Tobia²^ORCID,Blaschke Thomas³^ORCID,Omarzadeh Davoud¹^ORCID

Affiliation:

1. Department of Remote Sensing and GIS, University of Tabriz, Tabriz Iran

2. Lab of Geoinformation Sciences, Department of Geography, Humboldt University of Berlin, Berlin Germany

3. Department of Geoinformatics – Z_GIS, University of Salzburg, Salzburg Austria

Funder

Alexander von Humboldt Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2021.2000350

Reference97 articles.

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2. Aral Sea syndrome desiccates Lake Urmia: Call for action

3. Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey)

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