Multiclass SAR feature space trajectory (FST) neural network class and pose estimation results

Multiclass SAR feature space trajectory (FST) neural network class and pose estimation results

Author(s):

Shenoy,R. ( Carnegie Mellon Univ. )
Casasent,D.P. ( Carnegie Mellon Univ. )

Publication title:

Algorithms for synthetic aperture radar imagery IV : 23-24 April 1997, Orlando, Florida

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

3070

Pub. Year:

1997

Page(from):

121

Page(to):

124

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819424853 [0819424854]

Language:

English

Call no.:

P63600/3070

Type:

Conference Proceedings

Details

TDL ID:	ZA00020197
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Algorithms for Synthetic Aperture Radar Imagery
Conf. info. (Number):	1997 : 4th
Conf. info. (Venue):	Orlando, FL, USA
Conf. info. (Date):	1997.04.23-1997.04.24

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