A data-noise tolerant method for multi-temporal hyperspectral images classification.
Selim HemissiImed Riadh FarahPublished in: WHISPERS (2013)
Keyphrases
- noisy data
- hyperspectral images
- noise tolerant
- training samples
- input data
- data sets
- image data
- classification algorithm
- missing data
- support vector machine
- hyperspectral data
- data points
- training set
- similarity measure
- learning algorithm
- feature vectors
- model selection
- semi supervised learning
- support vector
- objective function
- high quality
- training data
- hyperspectral
- instance based learning
- machine learning