Towards better exploiting convolutional neural networks for remote sensing scene classification
Universidade Federal de Minas Gerais
Indexed inarxivcrossref
Abstract
No abstract available for this paper.
Citation impact
912
total citations
- FWCI
- 107.06
- Percentile
- 100%
- References
- 84
Citations per year
Authors
3- KNKeiller NogueiraCorresponding
Universidade Federal de Minas Gerais
- OAOtávio A. B. Penatti
- JAJefersson A. dos Santos
Universidade Federal de Minas Gerais
Topics & keywords
Topics
Keywords
- Computer science
- Convolutional neural network
- Artificial intelligence
- Feature (linguistics)
- Pattern recognition (psychology)
- Feature extraction
- Machine learning
- Support vector machine
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