An Optimal Eigenvalue-Based Decomposition Approach for Estimating Forest Parameters Over Forest Mountain Areas
This paper aims to provide a new method for retrieving forest parameters in forest mountain areas by using L-band polarimetric interferometry synthetic aperture radar (PolInSAR) data. Applying the model-based (ground, double-bounce, and volume scattering)
- PDF / 51,810,280 Bytes
- 343 Pages / 439.37 x 666.142 pts Page_size
- 122 Downloads / 201 Views
334
Industrial Networks and Intelligent Systems 6th EAI International Conference, INISCOM 2020 Hanoi, Vietnam, August 27–28, 2020 Proceedings
123
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Editorial Board Members Ozgur Akan Middle East Technical University, Ankara, Turkey Paolo Bellavista University of Bologna, Bologna, Italy Jiannong Cao Hong Kong Polytechnic University, Hong Kong, China Geoffrey Coulson Lancaster University, Lancaster, UK Falko Dressler University of Erlangen, Erlangen, Germany Domenico Ferrari Università Cattolica Piacenza, Piacenza, Italy Mario Gerla UCLA, Los Angeles, USA Hisashi Kobayashi Princeton University, Princeton, USA Sergio Palazzo University of Catania, Catania, Italy Sartaj Sahni University of Florida, Gainesville, USA Xuemin (Sherman) Shen University of Waterloo, Waterloo, Canada Mircea Stan University of Virginia, Charlottesville, USA Xiaohua Jia City University of Hong Kong, Kowloon, Hong Kong Albert Y. Zomaya University of Sydney, Sydney, Australia
334
More information about this series at http://www.springer.com/series/8197
Nguyen-Son Vo Van-Phuc Hoang (Eds.) •
Industrial Networks and Intelligent Systems 6th EAI International Conference, INISCOM 2020 Hanoi, Vietnam, August 27–28, 2020 Proceedings
123
Editors Nguyen-Son Vo Faculty of Electrical and Electronics Engineering Duy Tan University Da Nang, Vietnam
Van-Phuc Hoang Le Quy Don Technical University Hanoi, Vietnam
ISSN 1867-8211 ISSN 1867-822X (electronic) Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN 978-3-030-63082-9 ISBN 978-3-030-63083-6 (eBook) https://doi.org/10.1007/978-3-030-63083-6 © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affili
