Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques

Lim, Tien Sze (2008) Synthetic Aperture Radar Autofocusing Using Evolutionary Computation Tecniques. PhD thesis, Multimedia University.

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Abstract

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).

Item Type: Thesis (PhD)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 29 Sep 2010 02:16
Last Modified: 29 Sep 2010 02:16
URI: http://shdl.mmu.edu.my/id/eprint/1729

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