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Radar Imaging

Principle and Implementation

  • Book
  • Jul 2024

Overview

  • Provides a unified framework for different image formation algorithms
  • Describes detailed implementation of typical image formation algorithms
  • Describes the imaging principle from mathematics, radar, signal processing, and inverse problem approaches

Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

Part of the book sub series: SpringerBriefs in Signal Processing (BRIEFSSIGNAL)

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Keywords

  • one dimensional radar imaging
  • two dimensional radar imaging
  • synthetic aperture radar (SAR)
  • radar image formation algorithm
  • radar imaging Fourier reconstruction
  • radar image processing
  • Remote Sensing/Photogrammetry

About this book

This book provides a comprehensive discussion on some of the key topics in radar imaging signal processing, and discusses image reconstruction from SAR (synthetic aperture radar) raw data. A key focus is to describe motion compensation based on motion sensor data or data-driven techniques to overcome the challenges faced when the motion sensors on radar platforms have poor accuracy. It discusses image formation algorithms and provides MATLAB codes for typical algorithms to overcome the challenges facing accurate image formation. The book is written in an easy-to-understand manner and will be useful to both professionals in radar signal and image processing, and readers without a background in radar. 


Authors and Affiliations

  • Department of Electronic Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China

    Xinhua Mao

  • School of Informatics, University of Leicester, Leicestershire, United Kingdom

    Yu-Dong Zhang

  • JIS University, Kolkata, India

    Nilanjan Dey

About the authors




Bibliographic Information

  • Book Title: Radar Imaging

  • Book Subtitle: Principle and Implementation

  • Authors: Xinhua Mao, Yu-Dong Zhang, Nilanjan Dey

  • Series Title: SpringerBriefs in Electrical and Computer Engineering

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-33-4451-8Due: 15 July 2024

  • eBook ISBN: 978-981-33-4452-5Due: 15 July 2024

  • Series ISSN: 2191-8112

  • Series E-ISSN: 2191-8120

  • Edition Number: 1

  • Number of Illustrations: 100 illustrations in colour

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