Deep supervised learning for hyperspectral data classification through convolutional neural networks.
Konstantinos MakantasisKonstantinos KarantzalosAnastasios D. DoulamisNikolaos D. DoulamisPublished in: IGARSS (2015)
Keyphrases
- hyperspectral data
- supervised learning
- hyperspectral images
- hyperspectral
- convolutional neural networks
- hyperspectral imagery
- class labels
- unsupervised learning
- infrared
- pattern recognition
- multispectral
- machine learning
- support vector
- remote sensing
- support vector machine svm
- learning algorithm
- random projections
- decision trees
- semi supervised
- classification accuracy
- active learning
- training set
- training data
- svm classifier
- computer vision
- model selection
- feature extraction
- support vector machine
- principal components
- feature selection
- high quality