Fast hyperspectral data processing methods

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4383, Issue , 2001, Pages 74-78

  Boggs, T ^a   Gomez, R B ^a  

^a George Mason University   (United States)

Author keywords

Data processing; HSI; Hyperspectral; Image processing; Principal components

Indexed keywords

ALGORITHMS; BLOCK CODES; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; FEATURE EXTRACTION; IMAGE COMPRESSION; INFRARED IMAGING; INTERFACES (COMPUTER); MAXIMUM LIKELIHOOD ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTRUM ANALYSIS;

HYPERSPECTRAL DATA;

OPTICAL DATA PROCESSING;

EID: 0034864759     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.428243     Document Type: Article

References (9)

1. Three stage ML classifier
2. Fast likelihood classification
3. Efficient maximum likelihood classification for imaging spectrometer data sets
4. Segmented principal components transformation for efficient hyperspectral remotesensing image display and classification
5. A fast two-stage classification method for high-dimensional remote sensing data
6. A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification
7. Parallel implementation of the Karhunen-Loeve procedure for image recognition