A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral Classification.
Juan F. Ramirez RochacNian ZhangLara A. ThompsonTolessa DeksissaPublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- hyperspectral
- deep learning
- hyperspectral images
- hyperspectral data
- unsupervised learning
- remote sensing
- highly imbalanced
- hyperspectral imagery
- multispectral
- machine learning
- infrared
- satellite images
- image data
- decision trees
- support vector machine
- feature selection
- feature vectors
- pattern recognition
- information content
- class distribution
- support vector
- data sets
- weakly supervised
- classification accuracy
- text classification
- cost sensitive
- partial occlusion
- feature extraction
- training samples
- computer vision
- natural language processing