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: | , , , , , |
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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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