Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series

Latest remote sensing sensors are capable of acquiring high spatial and spectral Satellite Image Time Series (SITS) of the world. These image series are a key component of classification systems that aim at obtaining up-to-date and accurate land cover maps of the Earth’s surfaces. More spe...

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Bibliographic Details
Main Authors: Charlotte Pelletier, Geoffrey I. Webb, François Petitjean
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
time series
Temporal Convolutional Neural Network (TempCNN)
satellite images
remote sensing
classification
land cover mapping
Online Access:http://www.mdpi.com/2072-4292/11/5/523

Internet

http://www.mdpi.com/2072-4292/11/5/523

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