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Using spectral distances for speedup in hyperspectral image processing
S. A. Robila
Computer Science
Research output
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Contribution to journal
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Article
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peer-review
40
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Dive into the research topics of 'Using spectral distances for speedup in hyperspectral image processing'. Together they form a unique fingerprint.
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Keyphrases
Hyperspectral
100%
Hyperspectral Image Processing
100%
International Cooperative Ataxia Rating Scale (ICARS)
100%
Principal Coordinate Analysis (PCoA)
100%
Original Image
100%
Spectral Distance
100%
Processing Techniques
50%
AVIRIS
50%
Spectral Correlation
50%
Spectral Angle
50%
Weighing Factor
50%
Data Accuracy
50%
Hyperion
50%
Data Reduction
50%
Distance Measure
50%
HYDICE
50%
Screening Algorithm
50%
Optimum Performance
50%
Engineering
Hyperspectral Data
100%
Independent Component Analysis
100%
Principal Components
100%
Component Analysis
100%
Hyperspectral Image Processing
100%
Similarities
50%
Processing Technique
50%
Spectral Correlation
50%
Data Reduction
50%
Optimum Performance
50%
Computer Science
Component Analysis
100%
Principal Components
100%
Hyperspectral Data
100%
Independent Component Analysis
100%
Hyperspectral Image Processing
100%
Spectral Correlation
50%
Data Reduction
50%
Distance Measure
50%
Optimum Performance
50%
Data Processing
50%
Mathematics
Image Processing
100%
Independent Component
100%
Principal Component Analysis
100%
Cube
50%
Data Reduction
50%
Chemistry
Hyperspectral Imaging
100%
Cubic Crystal
50%