Independent component analysis as a tool for the dimensionality reduction and the representation of hyperspectral images

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 6, Issue , 2001, Pages 2893-2895

  Lennon, M ^a   Mercier, G ^a   Mouchot, M C ^a   Hubert Moy, L ^a  

^a ECOLE DES MINES DE NANTES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; DATA REDUCTION; IMAGE SENSORS; INDEPENDENT COMPONENT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; STATISTICS;

HYPERSPECTRAL IMAGES;

IMAGE ANALYSIS;

EID: 0035573991     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Independent component analysis, A new concept?
2. Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture
3. Independent component analysis: Algorithms and applications
4. Fast and robust fixed-point algorithms for independent component analysis
5. What is projection poursuit?
6. Hyperspectral data analysis and supervised feature reduction via projection poursuit
7. Unsupervised hyperspectral image analysis with projection poursuit