A NEURAL SYSTEM FOR AUTOMATIC TARGET LEARNING AND RECOGNITION APPLIEDTO BARE AND CAMOUFLAGED SAR TARGETS

Authors
BERNARDON AM CARRICK JE
Citation
Am. Bernardon et Je. Carrick, A NEURAL SYSTEM FOR AUTOMATIC TARGET LEARNING AND RECOGNITION APPLIEDTO BARE AND CAMOUFLAGED SAR TARGETS, Neural networks, 8(7-8), 1995, pp. 1103-1108
Citations number
6
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Computer Sciences, Special Topics","Computer Science Artificial Intelligence",Neurosciences,"Physics, Applied
Journal title
Neural networks → ACNP
ISSN journal
08936080
Volume
8
Issue
7-8
Year of publication
1995
Pages
1103 - 1108
Database
ISI
SICI code
0893-6080(1995)8:7-8<1103:ANSFAT>2.0.ZU;2-8
Abstract
This paper presents a neural based approach to target learning and rec ognition in synthetic-aperture radar imagery. Targets consist of a var iety of camouflaged and uncamouflaged military vehicles taken at diffe rent radar view and depression angles in both spotlight and stripmap r adar collection modes. Results from a variety of recognition experimen ts are reported.