Olivier Cavalie - Surface Displacement Measurement from Remote Sensing Images

5 Begin Reading

6 List of Authors

7 Index

8 End User License Agreement

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SCIENCES

Image , Field Director – Laure Blanc-Feraud

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

Coordinated by

Olivier Cavalié

Emmanuel Trouvé

First published 2022 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 2022

The rights of Olivier Cavalié and Emmanuel Trouvé to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s), contributor(s) or editor(s) and do not necessarily reflect the views of ISTE Group.

Library of Congress Control Number: 2022934057

British Library Cataloguing-in-Publication Data

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

ISBN 978-1-78945-083-5

ERC code:

PE6 Computer Science and Informatics

PE6_11 Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

PE10 Earth System Science

PE10_14 Earth observations from space/remote sensing

This book is part of ISTE–Wiley’s SCIENCES series 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). Based on this subject, we proposed a series of books that would portray diverse and comprehensive topics related to advanced remote sensing images and their applications for Earth observation (EO). There has been an increasing demand for the monitoring and prediction of our planet’s evolution on local, regional and global scales. Hence, airborne, space-borne and ground-based platforms with active and passive sensors have been used to acquire images that measure several features at various spatial and temporal resolutions over the past few decades.