A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes.
Tatsumi UezatoRichard J. MurphyArman MelkumyanAnna ChlingaryanPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- hyperspectral imagery
- hyperspectral images
- hyperspectral
- hyperspectral data
- spectral signatures
- multispectral
- clustering algorithm
- remote sensing
- target detection
- spatial resolution
- clustering method
- spectral features
- infrared
- machine learning
- k means
- change detection
- data clustering
- categorical data
- data points
- fuzzy clustering
- spectral clustering
- multispectral images
- similarity function
- hierarchical clustering
- cluster analysis
- information theoretic
- image data
- image processing
- automatic extraction
- graph partitioning
- unsupervised learning
- information extraction
- intra class
- arbitrary shape
- pairwise
- spectral methods
- feature extraction