FastICA(MNF) for feature generation in hyperspectral imagery

FUSION 2007 - 2007 10th International Conference on Information Fusion

Volumn , Issue , 2007, Pages

  Jouan, Alexandre ^a  

^a DEFENCE RESEARCH AND DEVELOPMENT CANADA VALCARTIER   (Canada)

Author keywords

Dimensionality reduction; FastICA; Feature generation; Hyperspectral; Minimum Noise Fraction

Indexed keywords

DATA FUSION; FUSION REACTIONS; INFORMATION FUSION; NUCLEAR PHYSICS;

DIMENSIONALITY REDUCTION; EARTH OBSERVATION; FASTICA; FEATURE GENERATION; HYPERSPECTRAL; HYPERSPECTRAL IMAGERY; INDEPENDENT COMPONENTS; INTERNATIONAL CONFERENCES; M-SPECTRUM; MATERIAL CHARACTERIZATIONS; MINIMUM NOISE FRACTION; SENSOR TECHNOLOGIES; SPECTRAL BANDING; SPECTRAL DOMAINS;

SENSOR DATA FUSION;

EID: 50249134833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2007.4408167     Document Type: Conference Paper

References (4)

1. Boardman, J. W., and Kruse, F. A., 1994, Automated spectral analysis: a geological example using AVIRIS data, north Grapevine Mountains, Nevada: in Proceedings, ERIM Tenth Thematic Conference on Geologic Remote Sensing, Environmental Research Institute of Michigan, Ann Arbor, MI, p. I-407 - I-418.
2. Jupp, D.L.B., Datt, B, Evaluation of Hyperion Performances at Australian Hyperspectral Calibration and Evaluation Sites, NASA EO-1 Final Report, NRA-99-0ES-01.
3. Barry P., EO-1 Hyperion Science Data User's Guide, HYP-TO-01-077-Rev Public Release L1_B.
4. Hyvarinen A., Karhunen J., Oja E, Independent Component Analysis, John Wiley & Sons, 2001.