Theses and Dissertations - UTB/UTPA

Date of Award


Document Type


Degree Name

Master of Science (MS)



First Advisor

Dr. Zhijun Qiao

Second Advisor

Dr. Andras Balogh

Third Advisor

Dr. Zhaoshang Feng


Convolution Back Projection (CBP) is an imaging algorithm, which can be applied to data gathered by a Synthetic Aperture Radar (SAR) system to produce high resolution images. The Mathematics of CBP was first studied in the context of tomographic image reconstruction for medical applications. CBP image processing has also been applied to a variety of other fields, such as seismic imaging, sonar, and radio astronomy. In terms of SAR image processing algorithms, CBP is far less efficient than direct Fourier Inversion Algorithms. The purpose of this thesis is to study the CBP algorithm as it is applied to SAR image formation. Specifically, thesis will provide the formulation of the CBP algorithm for a circular SAR geometry. The starting point for the development of this algorithm is a common radar wave model, which can be derived from Maxwells Equation’s.


Copyright 2012 Timothy P. Ray. All Rights Reserved.

Granting Institution

University of Texas-Pan American

Included in

Mathematics Commons