University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Ship-detection in SAR imagery using Low Pulse Repetition Frequency Radar

Iervolino, P, Cohen, M, Guida, R and Whittaker, P (2014) Ship-detection in SAR imagery using Low Pulse Repetition Frequency Radar In: EUSAR, 2014-06-03 - 2014-06-05.

[img]
Preview
PDF (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview
[img]
Preview
Text
1569854957_new.pdf - ["content_typename_Submitted version (pre-print)" not defined]
Available under License : See the attached licence file.

Download (324kB) | Preview

Abstract

The paper introduces a novel approach for ship-detection and ambiguity removal in images acquired from Synthetic Aperture Radar (SAR) operating in Low Pulse Repetition Frequency (LPRF) mode. The procedure consists of four steps. In the detection step, the bright clusters of pixels representative of the ships are isolated using a Constant False Alarm Rate (CFAR) algorithm; in the maximum selection step a pixel maximum in amplitude is chosen for each cluster; in the third step the isolated pixels are interpolated and, finally, the stationary point of the curve, corresponding to the actual position of the target, is computed. The algorithm is tested on an airborne S-band SAR image of the Solent in the United Kingdom.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Authors :
AuthorsEmailORCID
Iervolino, PUNSPECIFIEDUNSPECIFIED
Cohen, MUNSPECIFIEDUNSPECIFIED
Guida, RUNSPECIFIEDUNSPECIFIED
Whittaker, PUNSPECIFIEDUNSPECIFIED
Date : 2014
Contributors :
ContributionNameEmailORCID
PublisherVDE, UNSPECIFIEDUNSPECIFIED
Additional Information : Copyright 2014 VDE VERLAG. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the VDE VERLAG.
Depositing User : Symplectic Elements
Date Deposited : 18 Mar 2015 09:39
Last Modified : 18 Mar 2015 14:33
URI: http://epubs.surrey.ac.uk/id/eprint/805552

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800