Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques

A major challenge in synthetic aperture radar (SAR) system development involves compensations for undesirable variations in the azimuth SAR phase history. Primary causes of these phase variations include oscillator phase instabilities, uncompensated sensor motion and atmospheric propagation. dependi...

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Main Author: Lim, Tien Sze
Format: Thesis
Published: 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/1729/
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author Lim, Tien Sze
author_facet Lim, Tien Sze
author_sort Lim, Tien Sze
building MMU Institutional Repository
collection Online Access
description A major challenge in synthetic aperture radar (SAR) system development involves compensations for undesirable variations in the azimuth SAR phase history. Primary causes of these phase variations include oscillator phase instabilities, uncompensated sensor motion and atmospheric propagation. depending on their nature and magnitude, phase errors can significantly degrade the quality of SAR images in terms of geometry linearity, resolution, image contrast and signal-to-noise ratio (SNR).
first_indexed 2025-11-14T18:03:37Z
format Thesis
id mmu-1729
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:03:37Z
publishDate 2008
recordtype eprints
repository_type Digital Repository
spelling mmu-17292010-09-29T02:16:52Z http://shdl.mmu.edu.my/1729/ Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques Lim, Tien Sze TK Electrical engineering. Electronics Nuclear engineering A major challenge in synthetic aperture radar (SAR) system development involves compensations for undesirable variations in the azimuth SAR phase history. Primary causes of these phase variations include oscillator phase instabilities, uncompensated sensor motion and atmospheric propagation. depending on their nature and magnitude, phase errors can significantly degrade the quality of SAR images in terms of geometry linearity, resolution, image contrast and signal-to-noise ratio (SNR). 2008-12 Thesis NonPeerReviewed Lim, Tien Sze (2008) Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques. PhD thesis, Multimedia University. http://myto.perpun.net.my/metoalogin/logina.php
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lim, Tien Sze
Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
title Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
title_full Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
title_fullStr Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
title_full_unstemmed Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
title_short Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
title_sort synthetic aperture radar autofocusing using evolutionary computation tecniques
topic TK Electrical engineering. Electronics Nuclear engineering
url http://shdl.mmu.edu.my/1729/
http://shdl.mmu.edu.my/1729/