An Information Theory-Based Scheme for Efficient Classification of Remote Sensing Data.
Andrea MarinoniGianni Cristian IannelliPaolo GambaPublished in: IEEE Trans. Geosci. Remote. Sens. (2017)
Keyphrases
- information theory
- remote sensing data
- information theoretic
- statistical learning
- remotely sensed data
- jensen shannon divergence
- land cover classification
- remote sensing
- multispectral
- statistical mechanics
- conditional entropy
- kullback leibler divergence
- neural network
- machine learning
- mdl principle
- training data
- mutual information
- shannon entropy
- hyperspectral images
- feature extraction
- image classification
- supervised classification
- low complexity
- learning algorithm
- pattern recognition
- rate distortion
- unsupervised learning
- data mining
- training set