Feature space trajectory(FST)neural network for SAR detection,classification,and clutter rejection

Feature space trajectory(FST)neural network for SAR detection,classification,and clutter rejection

Author(s):

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

Publication title:

Algorithms for synthetic aperture radar imagery lll : 10-12 April 1996, Orlando, Florida

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

2757

Pub. Year:

1996

Page(from):

357

Page(to):

363

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819421388 [0819421383]

Language:

English

Call no.:

P63600/2757

Type:

Conference Proceedings

Details

TDL ID:	ZA00020266
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Algorithms for Synthetic Aperture Radar Imagery
Conf. info. (Number):	1996 : 3rd
Conf. info. (Venue):	Orlando, FL, USA
Conf. info. (Date):	1996.04.10-1996.04.12

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