@inproceedings{a19bcb2d38ed481e9887948a5f48a56a,
title = "A robust SAR ATR algorithm using pulse coupled neural network",
abstract = "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.",
keywords = "ATR, MSTAR, PCNN, SAR",
author = "Santu Sardar and Mishra, {Amit K.} and Sesham Srinu",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 11th IEEE India Conference, INDICON 2014 ; Conference date: 11-12-2014 Through 13-12-2014",
year = "2014",
month = dec,
day = "11",
doi = "10.1109/INDICON.2014.7030432",
language = "English",
series = "11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014",
publisher = "IEEE Press",
booktitle = "11th IEEE India Conference",
address = "United States of America",
}