Investigating Spiking Neural Networks for Energy-Efficient On-Board AI Applications. A Case Study in Land Cover and Land Use Classification.
Andrzej S. KucikGabriele MeoniPublished in: CVPR Workshops (2021)
Keyphrases
- land cover
- energy efficient
- land cover classification
- supervised classification
- multispectral
- remote sensing
- wireless sensor networks
- remote sensing images
- change detection
- satellite images
- sensor networks
- spiking neural networks
- urban growth
- energy consumption
- geographic information systems
- pattern recognition
- base station
- support vector machine svm
- feature selection
- data streams
- image classification
- support vector
- training data
- decision trees
- routing protocol
- high resolution
- feed forward
- feature space
- hyperspectral
- support vector machine
- neural network
- video sequences
- feature extraction
- unsupervised learning