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Department of Electrical Engineering

Time domain synthetic aperture radar image processing using fast factorised backprojection

Abstract

dc:description.abstract

Fast Factorised Backprojection(FFBP) is a Synthetic Aperture Radar (SAR) focusing technique which uses Filtered Backprojection(FBP) to produce high quality images in the spatial domain at speeds which rival spectral domain SAR focusing methods. Synthetic Aperture Radar (SAR) focusing is fundamentally a matched filtering process which can be performed both in the spatial or spectral domain. Spatial domain SAR focusing techniques like filtered backprojection can, in theory, completely recover the scene from data with an infinite bandwidth acquired using an isotropic antenna along an arbitrary curved flight path of infinite length. This means that the focusing of a image using filtered backprojection is only limited by a finite bandwidth, non isotropic beam width and a finite flight path length. However filtered backprojection with an operation count which is proportional to 0 (n3 ) is computationally inefficient in speed when compared to the frequency domain SAR image reconstruction algorithms with an operational count which is proportional to 0 (n2 10g (n)).

Degree

thesis:*
Grantor dc:publisher.institution
Department of Electrical Engineering
Year dc:date.issued
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Adams, Shamiel
Advisor dc:contributor.advisor
  • Wilkinson, Andrew John

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/5232
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/5232

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Adams, Shamiel. Time domain synthetic aperture radar image processing using fast factorised backprojection. Department of Electrical Engineering, 2005. http://hdl.handle.net/11427/5232