Classification by diagnosing all absorption features (CDAF) for the most abundant minerals in airborne hyperspectral images.
Mohammad MobasheriMohsen Ghamary AslPublished in: EURASIP J. Adv. Signal Process. (2011)
Keyphrases
- hyperspectral images
- hyperspectral data
- hyperspectral
- spectral features
- remotely sensed
- hyperspectral imagery
- classification accuracy
- feature extraction
- remote sensing
- hyperspectral image classification
- feature set
- multispectral
- spectral bands
- feature vectors
- svm classifier
- feature space
- infrared
- pixel classification
- machine learning
- spatial information
- satellite images
- target detection
- image classification
- false positives
- co occurrence
- random projections
- spatial resolution
- principle component analysis
- active learning
- high dimensionality
- support vector
- image segmentation