Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing

Synthetic Aperture Radar (SAR) is one of the widely used remote sensing sensors which produces high resolution image by using advance signal processing technique. SAR managed to operate in all sorts of weather and cover wide range of area. To produce a high-quality image, accurate parameters such as...

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Main Author:	Sew, Bee Cheng
Format:	Thesis
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-mmu-ep.5446
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spelling	my-mmu-ep.54462014-04-22T07:23:03Z Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing 2012 Sew, Bee Cheng TK Electrical engineering. Electronics Nuclear engineering Synthetic Aperture Radar (SAR) is one of the widely used remote sensing sensors which produces high resolution image by using advance signal processing technique. SAR managed to operate in all sorts of weather and cover wide range of area. To produce a high-quality image, accurate parameters such as Doppler centroid are required for precise SAR signal processing. In the azimuth matched filtering of SAR signal processing, Doppler centroid is an important azimuth parameter that helps to focus the image pixels. Doppler centroid has always been overlooked during SAR signal processing. It is due to the fact that estimation of Doppler centroid involved complicated calculation and increased computational load. Therefore, researcher used to apply only the approximate Doppler value which is not precise and cause defocus effort in the generated SAR image. In this study, several conventional Doppler centroid estimation algorithms are reviewed and developed using Matlab software program to extract the Doppler parameter from received SAR data, namely Spectrum Fit Algorithm, Wavelength Diversity Algorithm (WDA), Multilook Cross Correlation Algorithm (MLCC), and Multilook Beat Frequency Algorithm (MLBF). Two sets of SAR data are employed to evaluate the performance of each estimator, i.e. simulated point target data and RADARSAT-1 Vancouver scene raw data. These experiments gave a sense of accuracy for the estimated results together with computational time consumption. Point target is simulated to generate ideal case SAR data with pre-defined SAR system parameters. 2012 Thesis http://shdl.mmu.edu.my/5446/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Sew, Bee Cheng Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing
description	Synthetic Aperture Radar (SAR) is one of the widely used remote sensing sensors which produces high resolution image by using advance signal processing technique. SAR managed to operate in all sorts of weather and cover wide range of area. To produce a high-quality image, accurate parameters such as Doppler centroid are required for precise SAR signal processing. In the azimuth matched filtering of SAR signal processing, Doppler centroid is an important azimuth parameter that helps to focus the image pixels. Doppler centroid has always been overlooked during SAR signal processing. It is due to the fact that estimation of Doppler centroid involved complicated calculation and increased computational load. Therefore, researcher used to apply only the approximate Doppler value which is not precise and cause defocus effort in the generated SAR image. In this study, several conventional Doppler centroid estimation algorithms are reviewed and developed using Matlab software program to extract the Doppler parameter from received SAR data, namely Spectrum Fit Algorithm, Wavelength Diversity Algorithm (WDA), Multilook Cross Correlation Algorithm (MLCC), and Multilook Beat Frequency Algorithm (MLBF). Two sets of SAR data are employed to evaluate the performance of each estimator, i.e. simulated point target data and RADARSAT-1 Vancouver scene raw data. These experiments gave a sense of accuracy for the estimated results together with computational time consumption. Point target is simulated to generate ideal case SAR data with pre-defined SAR system parameters.
format	Thesis
qualification_level	Master's degree
author	Sew, Bee Cheng
author_facet	Sew, Bee Cheng
author_sort	Sew, Bee Cheng
title	Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing
title_short	Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing
title_full	Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing
title_fullStr	Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing
title_full_unstemmed	Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing
title_sort	modified multilook cross correlation technique for doppler centroid estimation in sar image signal processing
granting_institution	Multimedia University
granting_department	Faculty of Engineering and Technology
publishDate	2012
_version_	1747829576542715904

Modified multilook cross correlation technique for doppler centroid estimation in SAR image signal processing

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