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Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms. Caner OzdemirЧитать онлайн книгу.

Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms - Caner Ozdemir


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      Wiley Series in Microwave and Optical Engineering

      Kai Chang, Editor

      Texas A&M University

      A complete list of the titles in this series appears at the end of this volume.

      Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms

      With Advanced SAR/ISAR Imaging Concepts, Algorithms, and MATLAB Codes

      Second Edition

       Caner Özdemir, Phd

       Mersin UniversityMersin, Turkey

      This second edition first published 2021

      © 2021 John Wiley & Sons, Inc.

      Edition History John Wiley & Sons, Inc. (1e, 2012)

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

      The right of Caner Özdemir to be identified as the author of this work has been asserted in accordance with law.

      Registered Office John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

      Editorial Office 111 River Street, Hoboken, NJ 07030, USA

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      Wiley also publishes its books in a variety of electronic formats and by print‐on‐demand. Some content that appears in standard print versions of this book may not be available in other formats.

      Limit of Liability/Disclaimer of Warranty MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This work’s use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software. While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

       Library of Congress Cataloging‐in‐Publication Data

      Names: Özdemir, Caner, author.

      Title: Inverse synthetic aperture radar imaging with MATLAB algorithms: with advanced sar/isar imaging concepts, algorithms, and matlab codes / Caner Ozdemir, PhD Mersin University, Mersin, Turkey.

      Description: 2nd edition. | Hoboken, NJ, USA : Wiley, 2021. | Series: Wiley series in microwave and optical engineering | Includes bibliographical references and index.

      Identifiers: LCCN 2020031216 (print) | LCCN 2020031217 (ebook) | ISBN 9781119521334 (cloth) | ISBN 9781119521365 (adobe pdf) | ISBN 9781119521389 (epub)

      Subjects: LCSH: MATLAB. | Synthetic aperture radar. | MATLAB.

      Classification: LCC TK6592.S95 O93 2020 (print) | LCC TK6592.S95 (ebook) | DDC 621.3848/5–dc23

      LC record available at https://lccn.loc.gov/2020031216 LC ebook record available at https://lccn.loc.gov/2020031217

      Cover design by Wiley

      Cover image: Courtesy of Caner Özdemir, (background) © Maxiphoto/Getty Images

       To:My wife Betül,My three daughters,My brother,My father,and the memory of my beloved mother

      Preface to the Second Edition

      In the first edition of the book, I tried to cover most of the aspects of inverse synthetic aperture radar (ISAR) imaging starting from Fourier analysis to some advanced ISAR concepts such as range‐Doppler ISAR processing and ISAR motion compensation techniques. The main goal was to present a conceptual description of ISAR imagery and the explanation of basic ISAR research topics. Although the primary audience would be graduate students and other interested researchers in the fields of electrical engineering and physics, I hoped that colleagues working in radar research and development or in a related industry might also benefit from the book.

      It has been more than eight years since the publication of the first edition. Since then, I have been really grateful that I have received positive responses from the researchers and colleagues that are interested and/or involved in radar imaging, and especially ISAR imaging. Undoubtedly, ISAR has been gaining more attention among researchers, scholars, and engineers as emerging new developments in ISAR research have been reported by various colleagues day by day.

      In this second edition of the book, I have tried to include the recent progress made in ISAR imaging research and also give insights to more advanced concepts. Therefore, in this edition of the book, I have made the following alterations and additions:

       All the chapters in the first edition have been revised including all the texts, equations, and figures with some additions. Typos in the


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