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  • Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation by Ian G. Cumming book cover
  • Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation by Ian G. Cumming book cover
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Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation

by Ian G. Cumming

A signal-processing guide to SAR

$176.90 USD
$208.12 USD $176.90 USD
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AlbakiReads Editorial

A signal-processing guide to SAR

Ian G. Cumming’s book treats synthetic aperture radar as both an imaging system and a digital processing problem. It introduces how SAR works and examines the properties of its data, then explains how digital computers form focused images. Processing algorithms give the discussion a practical dimension, connecting the underlying signal-processing concepts with implementation. The publisher describes the material as accessible to readers with a general electrical engineering background, while its emphasis on algorithms and project use also makes it a technical reference for professionals working with SAR data.

Good fit for readers who enjoy

  • Radar professionals seeking guidance on SAR data processing.
  • Electrical engineering students interested in radar and signal processing.
  • Practitioners looking for algorithms to apply in SAR projects.

Themes

Synthetic aperture radarDigital image formationSignal processing algorithmsRadar data properties

Based on publisher information and book metadata.

Book overview

Synthetic Aperture Radar (SAR) is of major interest to radar professionals because it allows them to obtain high-resolution images with unsurpassed clarity from satellites that take pictures of the earth's surface in all weather conditions. This cutting-edge resource offers complete how to guidance on digital processing of synthetic aperture radar (SAR) data. Professionals discover precisely how this radar system works and gain an in-depth understanding of the properties of SAR data. The book explains how digital computers are used to form the focused image and provides practitioners with state-of-the-art processing algorithms that they can use for their projects. Written from a signal processing point of view, this authoritative volume can be fully understood by professionals and students with a general electrical engineering background.
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