Integration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data.
Luis O. JimenezJorge L. Rivera-MedinaEladio Rodriguez-DiazEmmanuel Arzuaga-CruzMabel Ramírez-VélezPublished in: IEEE Trans. Geosci. Remote. Sens. (2005)
Keyphrases
- hyperspectral data
- multispectral
- hyperspectral
- hyperspectral imagery
- spectral characteristics
- hyperspectral images
- remote sensing
- spectral signatures
- spectral bands
- remote sensing images
- multispectral images
- infrared
- spatial information
- image data
- spatial resolution
- remotely sensed
- land cover classification
- information content
- satellite images
- target detection
- random projections
- multi band
- remote sensing data
- remotely sensed data
- spectral resolution
- image analysis
- supervised learning
- spectral images
- pattern recognition
- spectral features
- unsupervised learning
- principal components
- machine learning
- high quality
- dimensionality reduction
- high spatial resolution
- data compression
- information fusion