Predicting the Detectability of Thin Gaseous Plumes in Hyperspectral Images Using Basis Vectors.
Kevin K. AndersonMark F. TardiffLawrence K. ChiltonPublished in: Sensors (2010)
Keyphrases
- hyperspectral images
- basis vectors
- linear combination
- hyperspectral
- sparse coding
- feature space
- nonnegative matrix factorization
- remote sensing
- basis functions
- sparse representation
- image quality
- original data
- multispectral
- training samples
- low dimensional
- target detection
- multispectral images
- linear subspace
- learning algorithm
- principal component analysis
- high dimensional data
- image representation
- unsupervised learning
- least squares
- nearest neighbor
- small number
- data sets