How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology?
Benjamin DeneuAlexis JolyPierre BonnetMaximilien ServajeanFrançois MunozPublished in: ICPR Workshops (6) (2020)
Keyphrases
- satellite images
- remote sensing
- land cover
- deep learning
- landsat tm
- change detection
- multispectral
- remotely sensed
- satellite imagery
- convolutional network
- remote sensing images
- urban areas
- unsupervised feature learning
- high resolution satellite images
- climate change
- convolutional neural networks
- high resolution
- satellite data
- digital elevation models
- radar images
- google earth
- land use change
- training set
- hyperspectral
- image processing
- multilayer perceptron
- unsupervised learning
- remotely sensed images
- computer aided design
- deep belief networks
- medical imaging
- face recognition