Referenced Items are not available for this document.
High range resolution (HRR) radar produces high resolution target signatures of moving ground targets that can be separated from ground clutter using Doppler processing. As a result, HRR sensors are a leading candidate to provide all weather, day/night, long-standoff identification of moving ground targets. Previous automatic target recognition (ATR) studies have demonstrated the usefulness of HRR ATR with traditional statistical techniques such as mean-squared error template-based classifiers. This paper presents the results on an initial investigation of the use of artificial neural network (ANN) classifiers for HRR ATR in a continuous tracking (CT) scenario.
Published in:
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
(Volume:2
)
Date of Conference: 24-27 Oct. 1999
- Page(s):
- 1235 - 1239 vol.2
- Meeting Date :
- 24 Oct 1999-27 Oct 1999
- ISSN :
- 1058-6393
- Print ISBN:
- 0-7803-5700-0
- INSPEC Accession Number:
- 6615544
- Conference Location :
- Pacific Grove, CA, USA
- Digital Object Identifier :
- 10.1109/ACSSC.1999.831904
- Product Type:
- Conference Publications
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