Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios.
Filip PalkaWojciech KsiazekPawel PlawiakMichal RomaszewskiKamil KsiazekPublished in: CoRR (2020)
Keyphrases
- hyperspectral
- hyperspectral images
- hyperspectral data
- hyperspectral image classification
- pixel classification
- remote sensing
- genetic algorithm
- text classification
- land cover classification
- support vector
- hyperspectral imagery
- hyperspectral imaging
- infrared
- target detection
- multispectral
- band selection
- neural network
- machine learning
- supervised classification
- supervised learning
- information content
- support vector machine
- image data
- satellite images
- image analysis
- feature vectors
- pattern recognition
- spectral bands
- image classification
- feature extraction
- decision trees
- feature set
- image processing