Keyphrases
Hyperspectral
100%
Dimensionality Reduction
100%
Information Theory
100%
Hyperspectral Image Classification
100%
Feature Selection
60%
Feature Extraction
40%
Selected Features
40%
Cross Cumulative Residual Entropy
40%
Classification Accuracy
20%
Overall Classification Accuracy
20%
High Dimension
20%
Support Vector Machine Classifier
20%
Ground Surface
20%
High Correlation
20%
Spectral Bands
20%
Spectral Data
20%
Publicly Available
20%
Washington DC
20%
Feature Subset
20%
Object Classification
20%
Surface Vegetation
20%
Hyperspectral Image Data
20%
Data Cube
20%
Mall
20%
Kernel Support Vector Machine
20%
Pavia
20%
Denoising Method
20%
Minimum Noise Fraction
20%
Classification pipeline
20%
Indian Pines
20%
Minimum Redundancy Maximum Relevance (mRMR)
20%
Computer Science
Image Classification
100%
Hyperspectral Image
100%
Feature Selection
33%
Feature Extraction
22%
Classification Accuracy
22%
Dimensionality Reduction
11%
Data Cube
11%
High Dimensionality
11%
Traditional Method
11%
High Correlation
11%
Minimum Redundancy
11%
Dimension Reduction Method
11%
de-noising
11%
Extracted Feature
11%
Support Vector Machine
11%
Selection Criterion
11%
Engineering
Hyperspectral Image
100%
Image Classification
100%
Feature Extraction
55%
Dimensionality
22%
Classification Accuracy
22%
Ground Surface
11%
Experimental Finding
11%
Extracted Feature
11%
Selection Criterion
11%
Tasks
11%
Spectral Band
11%
Image Data
11%
Support Vector Machine
11%
Earth and Planetary Sciences
Hyperspectral Image Classification
100%
Hyperspectral Image
100%
Pattern Recognition
33%
Spectral Band
16%
Vegetation
16%
Washington
16%
Support Vector Machine
16%