Holographic neural networks versus conventional neural networks: a comparative evaluation for the classification of landmine targets in ground-penetrating radar images

Holographic neural networks versus conventional neural networks: a comparative evaluation for the classification of landmine targets in ground-penetrating radar images

Author(s):

Mudigonda, N.R. ( General Dynamics Canada Ltd. (Canada) )
Kacelenga, R. ( General Dynamics Canada Ltd. (Canada) )
Edwards, M. ( General Dynamics Canada Ltd. (Canada) )

Publication title:

Detection and remediation technologies for mines and minelike targets IX : 12-16 April 2004, Orlando, Florida, USA

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

5415

Pub. Year:

2004

Page(from):

996

Page(to):

1007

Pages:

12

Pub. info.:

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

ISSN:

0277786X

ISBN:

9780819453389 [0819453382]

Language:

English

Call no.:

P63600/5415-2

Type:

Conference Proceedings

Details

TDL ID:	ZA00013769
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Detection and remediation technologies for mines and minelike targets
Conf. info. (Number):	2004 : 9th
Conf. info. (Venue):	Orlando, FL, USA
Conf. info. (Date):	2004.04.12-2004.04.16

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