DetailedGradPaperOnSAR

DetailedGradPaperOnSAR - Processing SAR data using Range...

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Processing SAR data using Range Doppler and Chirp Scaling Algorithms Naeim Dastgir Master’s of Science Thesis in Geodesy Report No. 3096 TRITA-GIT EX 07-005 School of Architecture and Built Environment Royal Institute of Technology (KTH) 100 44 Stockholm, Sweden April 2007
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TRITA-GIT EX 07-005 ISSN 1653-5227 ISRN KTH/GIT/EX--07/005-SE
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Abstract: Applications of self-illuminating remote sensing systems, and among those, Radar Imagery is growing rapidly. Unique properties of Synthetic Aperture Radar (SAR) system makes it one of the most popular and applicable methods of self illuminating remote sensing techniques for ground deformation monitoring, seismic studies, and many photogrammetry applications. There are several methods and algorithms for processing SAR data, each are convenient for different purposes. Two more common and reliable algorithms are developed in this thesis: a Range Doppler Algorithm and a Chirp Scaling Algorithm. Available software packages and toolboxes for processing SAR data such as DORIS, ROI-PAC, RAT and PULSAR have their advantage and disadvantages. Most of these packages run on Linux platform, are difficult to use, and require quite a few pre-processing data preparations. Besides there is no general SAR processing application that can handle all data types or suitable for all purposes. There are also software packages (such as ROI-PAC) with restrictions for people from certain countries. The objective of this thesis is to process SAR data using two more common algorithms, run a comparison between results of these two algorithms and to process InSAR pair images to form an Interferogram and to create a DEM. A Matlab based program is developed for this purpose with graphical user interface and a few visualization enhancement features, which facilitates processing data and producing desired output. Then, I investigate the effect of different frequency domains in the resulting image. The program I created in my thesis, has several advantages: it is open-source and very easy to modify. The program is coded in MATLAB, therefore it does not need a vast programming knowledge to be able to customize it. You can run it on any platform that can run MATLAB 7+. At the end of this thesis, I conclude that A Range Doppler Algorithm with secondary range compression performed in 2D-frequency domain has a result as good as a Chirp Scaling Algorithm and has less computational complexity and consumes less time. No general SAR processing algorithm could be introduced. Most of the times algorithms need to be adjusted for particular datasets, or particular applications. Besides, the most complicated algorithm is not always the best algorithm. For example, for a point target detection purpose, two filtering steps in range and azimuth direction provides accurate enough result.
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Table of Contents 1. Introduction______________________________________________________________6 1.1. Author’s investigation and the Thesis objective_____________________________________ 6
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DetailedGradPaperOnSAR - Processing SAR data using Range...

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