Comparison of SIFT Encoded and Deep Learning Features for the Classification and Detection of Esca Disease in Bordeaux Vineyards.
Florian RançonLionel BombrunBarna KeresztesChristian GermainPublished in: Remote. Sens. (2019)
Keyphrases
- deep learning
- unsupervised feature learning
- classification accuracy
- feature vectors
- feature extraction
- feature set
- restricted boltzmann machine
- unsupervised learning
- machine learning
- feature space
- image features
- keypoints
- pattern recognition
- feature selection
- image classification
- object detection
- support vector
- co occurrence
- object recognition
- deep belief networks
- highly discriminative
- text classification
- decision trees
- data mining
- semantic features
- training data
- multiscale
- dimensionality reduction
- supervised learning
- active learning