A robust SAR ATR algorithm using pulse coupled neural network

Santu Sardar, Amit K. Mishra, Sesham Srinu

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

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.

Original languageEnglish
Title of host publication11th IEEE India Conference
Subtitle of host publicationEmerging Trends and Innovation in Technology, INDICON 2014
PublisherIEEE Press
Number of pages4
ISBN (Electronic)9781479953646
DOIs
Publication statusPublished - 11 Dec 2014
Externally publishedYes
Event11th IEEE India Conference, INDICON 2014 - Pune, India
Duration: 11 Dec 201413 Dec 2014

Publication series

Name11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014

Conference

Conference11th IEEE India Conference, INDICON 2014
Country/TerritoryIndia
CityPune
Period11 Dec 201413 Dec 2014

Keywords

  • ATR
  • MSTAR
  • PCNN
  • SAR

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