Super Resolution Land Cover Mapping Using Deep Multi Scale Residual Dense Network
Super Resolution Mapping (SRM) is a land cover mapping method that generates land surface cover maps at fine spatial resolution from a coarse spatial resolution Remote Sensing (RS) image. Recently deep networks have shown impressive performance for image
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Communications in Computer and Information Science
Computer Vision, Pattern Recognition, Image Processing, and Graphics 7th National Conference, NCVPRIPG 2019 Hubballi, India, December 22–24, 2019 Revised Selected Papers
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Communications in Computer and Information Science Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China
1249
More information about this series at http://www.springer.com/series/7899
R. Venkatesh Babu Mahadeva Prasanna Vinay P. Namboodiri (Eds.) •
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Computer Vision, Pattern Recognition, Image Processing, and Graphics 7th National Conference, NCVPRIPG 2019 Hubballi, India, December 22–24, 2019 Revised Selected Papers
123
Editors R. Venkatesh Babu Department of Computational and Data Sciences Indian Institute of Science Bangalore Bangalore, India
Mahadeva Prasanna Department of Electrical Engineering Indian Institute of Technology Dharwad Dharwad, India
Vinay P. Namboodiri Computer Science & Engineering Indian Institute of Technology Kanpur Kanpur, India
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-15-8696-5 ISBN 978-981-15-8697-2 (eBook) https://doi.org/10.1007/978-981-15-8697-2 © Springer Nature Singapore Pte Ltd. 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 affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
The seventh National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) was held at Hubli, Karnataka is organized by the KLE T
