Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques

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...

Full description

Saved in:
Bibliographic Details
Main Author: Lim, Tien Sze
Format: Thesis
Published: 2008
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-mmu-ep.1729
record_format uketd_dc
spelling my-mmu-ep.17292010-09-29T02:16:52Z Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques 2008-12 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 http://shdl.mmu.edu.my/1729/ http://myto.perpun.net.my/metoalogin/logina.php phd doctoral Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Lim, Tien Sze
Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
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).
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Lim, Tien Sze
author_facet Lim, Tien Sze
author_sort Lim, Tien Sze
title Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques
title_short 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_sort synthetic aperture radar autofocusing using evolutionary computation tecniques
granting_institution Multimedia University
granting_department Research Library
publishDate 2008
_version_ 1747829442146729984

Similar Items