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Airborne Circularly Polarized SAR - Theory, System Design, Hardware Implementation, and Applications (Hardcover)
Loot Price: R3,977
Discovery Miles 39 770
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Airborne Circularly Polarized SAR - Theory, System Design, Hardware Implementation, and Applications (Hardcover)
Series: SAR Remote Sensing
Expected to ship within 12 - 17 working days
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A comprehensive resource on airborne synthetic aperture radar (SAR)
systems, Airborne Circulatory Polarized SAR explains the theory,
system design, hardware and software, and applications of airborne
circularly polarized SAR in environmental monitoring and other
uses. Readers learn how to build the hardware and software of
circularly polarized SAR, the antenna system, and how to generate
point target responses and images using the range doppler algorithm
(RDA) from raw signal data. The book discusses applications and
analyzing techniques using a circularly polarized SAR system and
image processing. Images and MATLAB codes are provided to help
professionals and researchers with their applications and future
studies. Features 1. Provides the theory of circularly polarized
wave and polarimetry related to system design, scattering analysis,
polarimetric SAR, and applications in microwave remote sensing. 2.
Explains the real radio frequency (RF) system and the original
antenna, including circuit explanation and know-how of measurement
technique to adjust to the required parameter in system design. 3.
Discusses the technique of ground test and flight mission to
calibrate and validate the performance of airborne circularly
polarized SAR. 4. Highlights image signal processing with MATLAB
codes and how to obtain a single look complex (SLC) image for
further applications. 5. Includes several applications of airborne
circularly polarized SAR from international leading experts. This
book is beneficial to professionals, researchers, academics, and
graduate students from disciplines such as Electronic Engineering;
Radar Systems; Aerospace Engineering; Signal Processing; Image
Processing; Environmental Remote Sensing.
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