Detecting low-emissivity objects in LWIR hyperspectral data and the corresponding impact on atmospheric compensation

Detecting low-emissivity objects in LWIR hyperspectral data and the corresponding impact on atmospheric compensation

Author(s):

Kaiser, R.D. ( Harris Corp. (USA) )
Vititoe, D.L.
Andrews, A.K.

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):

705

Page(to):

718

Pages:

14

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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