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Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms
book

Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms

by Caner Ozdemir
March 2012
Intermediate to advanced content levelIntermediate to advanced
408 pages
9h 28m
English
Wiley-Interscience
Content preview from Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms

CHAPTER THREE

Synthetic Aperture Radar

Synthetic aperture radar (SAR) is a high-resolution airborne and spaceborne remote sensing technique for imaging remote targets on a terrain or more generally on a scene. In 1951, Carl Wiley realized that if the echo signal is collected when the radar is moving along a straight path, the Doppler spectrum of the received signal can be used to synthesize a much longer aperture so that very close targets in the along-track dimension can be resolved [1]. In 1953, the first measured SAR image was formed when a C-46 aircraft was used to map a section of Key West, Florida [2, 3]. The first on-board satellite SAR system was developed by the National Aeronautics and Space Administration (NASA) researchers and put on Seasat in 1978. This remarkable satellite provided a lot of data for oceanographic applications. After Seasat, several satellites carrying SAR systems have been launched by different countries. Russian Almaz (1987), European ERS-1 (1991) and ERS-2 (1995), and Canadian Radarsat (1995) were among some of them. The first space-shuttle mission that has a SAR module was SIR-A (shuttle imaging radar). After SIR-A was launched aboard the space shuttle Columbia in 1981, other spaceborne SAR missions were followed. SIR-B (1984) and spaceborne imaging radar-C/X-band synthetic aperture radar SIR-C/X-SAR (1994) acquired SAR images in multiple frequencies and polarizations for more advanced applications such as interferometric and polarimetric mapping ...

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Publisher Resources

ISBN: 9781118178058Purchase book