A Parallel Positive Boolean Function approach to supervised multispectral image classification.
Yang-Lang ChangJyh-Perng FangLi-De ChenLong-Shin LiangKun-Shan ChenPublished in: IGARSS (2007)
Keyphrases
- multispectral
- boolean functions
- image classification
- uniform distribution
- remote sensing
- remote sensing images
- multispectral images
- remotely sensed data
- image analysis
- image data
- satellite images
- spatial resolution
- hyperspectral
- feature extraction
- positive and negative
- relevant variables
- statistical queries
- land cover
- spectral images
- multi band
- hyperspectral imagery
- land cover classification
- spectral characteristics
- semi supervised
- image features
- high resolution
- class specific
- supervised learning
- remote sensing data
- monotone boolean functions
- functional properties
- multispectral satellite images
- supervised classification
- polynomial size
- spectral bands
- stack filters
- unsupervised learning
- truth table
- hyperspectral images
- multispectral imaging
- disjunctive normal form
- dnf formulas
- feature vectors