Keyphrases
Classification Scheme
100%
Hyperspectral
100%
Hyperspectral Image Classification
100%
Subset-based
100%
Spatial Data
50%
Spectral Domain
50%
Classification Performance
50%
Robustness to Noise
50%
Spectral Bands
50%
Nonparametric Methods
50%
Spectral Information
50%
Clustering Methods
50%
Fuzzy C-means Algorithm
50%
Spectral-spatial Feature
50%
Spectral Bases
50%
Data Quality
50%
Fusion Technique
50%
Discrimination Power
50%
Evidence Theory
50%
Spatially Constrained
50%
Quality Capability
50%
Arbitrary Shaped Clusters
50%
Hyperspectral Data Cube
50%
Digital Imagery
50%
Eigenvalue-based
50%
Data Discrimination
50%
K-nearest
50%
Using Evidence
50%
Computer Science
Classification Scheme
100%
Eigenvalue
50%
Data Cube
50%
Clustering Technique
50%
Discrimination Capability
50%
Digital Imagery
50%
fuzzy c mean
50%
K-near neighbor classifier
50%
Spectral Domain
50%
Experimental Result
50%
Spatial Information
50%
Fusion Technique
50%
Classification Performance
50%
Clustering Method
50%
Spectral Information
50%
Hyperspectral Data
50%
Engineering
Classification Scheme
100%
Hyperspectral Imagery
100%
Experimental Result
50%
Spatial Information
50%
Spectral Domain
50%
Fusion Technique
50%
Classification Performance
50%
Quality Data
50%
Spectral Information
50%
Neighbor Classifier
50%
Hyperspectral Data
50%
Nonparametric Technique
50%
Eigenvalue
50%
Spectral Band
50%
Nearest Neighbor
50%