Change Detection and Image Time Series Analysis 2. Группа авторов

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      SCIENCES

      Image, Field Director – Laure Blanc-Feraud

      Remote Sensing Imagery, Subject Heads – Emmanuel Trouvé and Avik Bhattacharya

      Change Detection and Image Time Series Analysis 2

       Supervised Methods

       Coordinated by

      Abdourrahmane M. Atto

      Francesca Bovolo

      Lorenzo Bruzzone

      First published 2021 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.

      Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:

      ISTE Ltd

      27-37 St George’s Road

      London SW19 4EU

      UK

       www.iste.co.uk

      John Wiley & Sons, Inc.

      111 River Street

      Hoboken, NJ 07030

      USA

       www.wiley.com

      © ISTE Ltd 2021

      The rights of Abdourrahmane M. Atto, Francesca Bovolo and Lorenzo Bruzzone to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

      Library of Congress Control Number: 2021941720

      British Library Cataloguing-in-Publication Data

      A CIP record for this book is available from the British Library

      ISBN 978-1-78945-057-6

      ERC code:

      PE1 Mathematics

       PE1_18 Scientific computing and data processing

      PE10 Earth System Science

       PE10_3 Climatology and climate change

       PE10_4 Terrestrial ecology, land cover change

       PE10_14 Earth observations from space/remote sensing

      Preface

       Abdourrahmane M. ATTO1, Francesca BOVOLO2 and Lorenzo BRUZZONE3

       1University Savoie Mont Blanc, Annecy, France

       2Fondazione Bruno Kessler, Trento, Italy

       3University of Trento, Italy

      This book is part of the ISTE-Wiley “SCIENCES” Encyclopedia and belongs to the Image field of the Engineering and Systems department. The Image field covers the entire processing chain from acquisition to interpretation by analyzing the data provided by various imaging systems. This field is split into seven subjects, including Remote Sensing Imagery (RSI). The heads of this subject are Emmanuel Trouvé and Avik Bhattacharya. In this subject, we propose a series of books that portray diverse and comprehensive topics in advanced remote-sensing images and their application for Earth Observation (EO). There has been an increasing demand for monitoring and predicting our planet’s evolution on a local, regional and global scale. Hence, over the past few decades, airborne, space-borne and ground-based platforms with active and passive