A robust SAR ATR algorithm using pulse coupled neural network

Pulse coupled neural network (PCNN) framework is proposed in this paper for scale, position, elevation and illumination invariant synthetic aperture radar (SAR) automatic target recognition (ATR). We have used public release of the MSTAR dataset to validate our proposed system. We compared our propo...

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Bibliographic Details
Published in2014 Annual IEEE India Conference (INDICON) pp. 1 - 4
Main Authors Sardar, Santu, Mishra, Amit K., Srinu, Sesham
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2014
Subjects
ATR
Feature extraction
MSTAR
Neural networks
Neurons
PCNN
Principal component analysis
SAR
Synthetic aperture radar
Target recognition
Training
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ISSN2325-940X
DOI10.1109/INDICON.2014.7030432

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Summary:Pulse coupled neural network (PCNN) framework is proposed in this paper for scale, position, elevation and illumination invariant synthetic aperture radar (SAR) automatic target recognition (ATR). We have used public release of the MSTAR dataset to validate our proposed system. We compared our proposed system performance with existing approaches and established the better performance of the proposed system. We have shown that, even with reduced training sets, the proposed system shows consistent performance whereas the performance of conventional systems degrades.
ISSN:2325-940X
DOI:10.1109/INDICON.2014.7030432