Independent component analysis for remotely sensed image classification with limited data dimensionality

Independent component analysis for remotely sensed image classification with limited data dimensionality

Author(s):

Du, Q. ( Texas A&M Univ. (USA) )
Kopriva, I. ( George Washington Univ. (USA) )
Szu, H.H. ( Office of Naval Research (USA) )
Buss, J.R. ( Office of Naval Research (USA) )

Publication title:

Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks II

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

5439

Pub. Year:

2004

Page(from):

84

Page(to):

91

Pages:

8

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819453624 [0819453625]

Language:

English

Call no.:

P63600/5439

Type:

Conference Proceedings

Details

TDL ID:	ZA00013791
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks
Conf. info. (Number):	2004 : 2nd
Conf. info. (Venue):	Orlando, FL, USA
Conf. info. (Date):	2004.04.14-2004.04.15

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