RS-DCNN: a novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification
Developments in remote sensing technology have led to a continuous increase in the volume of remote-sensing data, which can be qualified as big remote sensing data. A wide range of potential applications is using these data including land cover classification, regional planning, catastrophe predicti...
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Main Authors: | Boulila, W., Sellami, M., Driss, M., Al-Sarem, M., Safaei, M., Ghaleb, F. A. |
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Format: | Article |
Published: |
Elsevier B.V.
2021
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/96552/ http://dx.doi.org/10.1016/j.compag.2021.106014 |
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