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Introduction to Synthetic Aperture Radar Using Python and MATLAB

Introduction to Synthetic Aperture Radar Using Python and MATLAB

Introduction to Synthetic Aperture Radar Using Python and MATLAB
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Introduction to Synthetic Aperture Radar Using Python and MATLAB Hardback - 2022

by Andy Harrison

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Details

  • Title Introduction to Synthetic Aperture Radar Using Python and MATLAB
  • Author Andy Harrison
  • Binding Hardback
  • Condition New
  • Pages 270
  • Volumes 1
  • Language ENG
  • Publisher Artech House Publishers
  • Publication date 2022-08-22
  • Illustrated Yes
  • Features Bibliography, Illustrated
  • Bookseller's Inventory # 44709536-n
  • ISBN 9781630818647 / 163081864X
  • Weight 1.93 lbs (0.88 kg)
  • Dimensions 9 x 6 x 1.13 in (22.86 x 15.24 x 2.87 cm)
  • Category Technology & Industrial Arts
  • Library of Congress subjects Python (Computer program language), Synthetic aperture radar
  • Library of Congress Catalogue Number 2023276159
  • Dewey Decimal Code 621.384
  • Quantity available 5

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Reader reviews for Introduction to Synthetic Aperture Radar Using Python and MATLAB

From the publisher

This comprehensive introduction to synthetic aperture radar (SAR) is a practical guide to the analysis, simulation, and design of SAR systems. The video eBook uses constructive examples and real-world collected datasets to demonstrate image registration and autofocus methods. Both two- and three-dimensional image formation algorithms are presented. Hardware, software, and environmental parameters are used to estimate performance limits for SAR operation and utilization. A set of Python and MATLAB software tools is included and provides you with an effective mechanism to analyze and predict SAR performance for various imaging scenarios and applications. Examples which use the software tools are provided at the end of each chapter to reinforce critical SAR imaging topics such as clutter-to-noise ratio, mapping rate, spatial resolution, Doppler bandwidth, pulse repetition frequency, and coherency. This is an excellent resource for engineering professionals working in areas of radar signal processing and imaging as well as students interested in studying SAR.

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