Identification and detection of gaseous effluents from hyperspectral imagery using invariant algorithms

Identification and detection of gaseous effluents from hyperspectral imagery using invariant algorithms

Author(s):

O'Donnell, E.M. ( Rochester Institute of Technology (USA) )
Messinger, D.W. ( Rochester Institute of Technology (USA) )
Salvaggio, C. ( Rochester Institute of Technology (USA) )
Schott, J.R. ( Rochester Institute of Technology (USA) )

Publication title:

Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery X : 12-15 April 2004, Orlando, Florida, USA

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

5425

Pub. Year:

2004

Page(from):

573

Page(to):

582

Pages:

10

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819453488 [081945348X]

Language:

English

Call no.:

P63600/5425

Type:

Conference Proceedings

Details

TDL ID:	ZA00013777
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
Conf. info. (Number):	2004 : 10th
Conf. info. (Venue):	Oriando, FL, USA
Conf. info. (Date):	2004.04.15

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