Unsupervised feature extraction and band subset selection techniques based on relative entropy criteria for hyperspectral data analysis

Unsupervised feature extraction and band subset selection techniques based on relative entropy criteria for hyperspectral data analysis

Author(s):

Arzuaga-Cruz, E. ( Univ. of Puerto Rico at Mayaguez (Puerto Rico) )
Jimenez-Rodriguez, L.O.
Velez-Reyes, M.

Publication title:

Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery IX : 21-24 April 2003, Orlando, Florida, USA

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

5093

Pub. Year:

2003

Page(from):

462

Page(to):

473

Pages:

12

Pub. info.:

Bellingham, Wash., USA: SPIE-The International Society for Optical Engineering

ISSN:

0277786X

ISBN:

9780819449535 [0819449539]

Language:

English

Call no.:

P63600/5093

Type:

Conference Proceedings

Details

TDL ID:	ZA00013082
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
Conf. info. (Number):	2003 : 9th
Conf. info. (Venue):	Oriando, FL, USA
Conf. info. (Date):	2003.04.21-2003.04.24

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