Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review

Rapid and uncontrolled population growth along with economic and industrial development, especially in developing countries during the late twentieth and early twenty-first centuries, have increased the rate of land-use/land-cover (LULC) change many times. Since quantitative assessment of changes in...

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Vydáno v:	Remote sensing (Basel, Switzerland) Ročník 12; číslo 7; s. 1135
Hlavní autoři:	Talukdar, Swapan, Singha, Pankaj, Mahato, Susanta, Shahfahad, Pal, Swades, Liou, Yuei-An, Rahman, Atiqur
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	MDPI AG 02.04.2020
Témata:	artificial neural network developing countries Earth observations industrialization land cover land use and land cover maps land use change land use/land cover (LULC) machine learning algorithm neural networks population growth random forest remote sensing satellites support vector machines vegetation index
ISSN:	2072-4292, 2072-4292
On-line přístup:	Získat plný text
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