RS_DCNN: a novel distributed convolutional-neural-networks based-approach for big remote-sensing image classification

• 主要な著者: Boulila, W., Sellami, M., Driss, M., Al-Sarem, M., Safaei, M., Ghaleb, F. A.
• フォーマット: 論文
• 出版事項: Elsevier Ltd. 2021
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.utm.my/id/eprint/94416/; http://dx.doi.org/10.1016/j.compag.2021.106014

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...