A novel urban mobility classification approach based on convolutional neural networks and mobility-to-image encoding.
Peppino FazioMiralem MehicMiroslav VoznákPublished in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
- satellite images
- convolutional neural networks
- human mobility
- mobile users
- single image
- mobile agents
- feature extraction
- support vector
- classification accuracy
- image classification
- test images
- input image
- convolutional network
- image feature extraction
- urban planning
- image regions
- decision trees
- image features
- image data
- image analysis
- feature space
- pattern recognition
- multiscale
- similarity measure
- image segmentation