Anomaly detection in hyperspectral imagery: a comparison of methods using seasonal data

Anomaly detection in hyperspectral imagery: a comparison of methods using seasonal data

Author(s):

P. Hytla ( Univ. of Dayton(USA) )
R. C. Hardie ( Univ. of Dayton(USA) )
M. T. Eismann ( Air Force Research Lab.(USA) )
J. Meola ( Air Force Research Lab.(USA) )

Publication title:

Algorithms and technologies for multispectral, hyperspectral, and ultraspectral imagery XIII : 9-12 April 2007, Orlando, Florida, USA

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

6565

Pub. Year:

2007

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819466877 [0819466875]

Language:

English

Call no.:

P63600/6565

Type:

Conference Proceedings

Details

TDL ID:	ZA00046872
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery
Conf. info. (Number):	2007 : 13th
Conf. info. (Venue):	Orlando, Florida, USA
Conf. info. (Date):	2007.04.09-2007.04.12

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