Deep Learning for Land Cover Change Detection

Deep Learning for Land Cover Change Detection

Land cover and its change are crucial for many environmental applications. This study focuses on the land cover classification and change detection with multitemporal and multispectral Sentinel-2 satellite data. To address the challenging land cover change detection task, we rely on two different de...

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Bibliographic Details
Main Authors: Oliver Sefrin, Felix M. Riese, Sina Keller
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
machine learning
multi-class classification
long short-term memory network (LSTM)
fully convolutional neural network (FCN)
multitemporal
time series
Online Access:https://www.mdpi.com/2072-4292/13/1/78

Internet

https://www.mdpi.com/2072-4292/13/1/78

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