Book Description
An up-to-date analysis of the
SAR wavefront reconstruction signal theory and its digital implementation.
With the advent of fast computing and digital information processing
techniques, synthetic aperture radar (SAR) technology has become both
more powerful and more accurate. Synthetic Aperture Radar Signal Processing
with MATLAB Algorithms addresses these recent developments, providing
a complete, up-to-date analysis of SAR and its associated digital
signal processing algorithms.
This book introduces the wavefront reconstruction signal theory that
underlies the best SAR imaging methods and provides clear guidelines
to system design, implementation, and applications in diverse areas--from
airborne reconnaissance to topographic imaging of ocean floors to
surveillance and air traffic control to medical imaging techniques,
and numerous others.
Enabling professionals in radar signal and image processing to use
synthetic aperture technology to its fullest potential, this work:
- Includes M-files to supplement this book that can be retrieved from
The MathWorks FTP server.
- Provides practical examples and results from real SAR, ISAR, and
CSAR databases.
- Outlines unique properties of the SAR signal that cannot be found
in other information processing systems.
- Examines spotlight SAR, stripmap SAR, circular SAR, and monopulse
SAR modalities.
- Discusses classical SAR processing issues such as motion compensation
and radar calibration.
About the Author(s)
MEHRDAD
SOUMEKH has served as SAR signal processing consultant
for various government and industrial laboratories, including the
Navy SPAWAR System Center, San Diego, and others.
In addition to publishing more than 40 papers and the book Fourier
Array Imaging, Dr. Soumekh holds a U.S. patent for his work on the
application of wavefront reconstruction theory in SAR imaging.
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