Mathematical Models for Remote Sensing Image Processing

Models and Methods for the Analysis of 2D Satellite and Aerial Images

  • Gabriele Moser
  • Josiane Zerubia

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-x
  2. Gabriele Moser, Josiane Zerubia, Sebastiano B. Serpico, Jon A. Benediktsson
    Pages 1-36
  3. Emmanuel Maggiori, Antonio Plaza, Yuliya Tarabalka
    Pages 37-80
  4. Fabio Pacifici, Georgios K. Ouzounis, Lionel Gueguen, Giovanni Marchisio, William J. Emery
    Pages 81-135
  5. Charles-Alban Deledalle, Loïc Denis, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi, Florence Tupin
    Pages 137-189
  6. Torbjørn Eltoft, Laurent Ferro-Famil, Stian N. Anfinsen, Anthony P. Doulgeris
    Pages 191-242
  7. Jon A. Benediktsson, Gabriele Cavallaro, Nicola Falco, Ihsen Hedhli, Vladimir A. Krylov, Gabriele Moser et al.
    Pages 277-323
  8. Bruno Aiazzi, Francesca Bovolo, Lorenzo Bruzzone, Andrea Garzelli, Davide Pirrone, Claudia Zoppetti
    Pages 325-355
  9. Nicolas Méger, Edoardo Pasolli, Christophe Rigotti, Emmanuel Trouvé, Farid Melgani
    Pages 357-398
  10. Devis Tuia, Michele Volpi, Jochem Verrelst, Gustau Camps-Valls
    Pages 399-441

About this book


This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric SAR, and polarimetric SAR data. At the same time, it addresses highly topical subjects involving remote sensing data types (e.g., very high-resolution images, multiangular or multiresolution data, and satellite image time series) and analysis methodologies (e.g., probabilistic graphical models, hierarchical image representations, kernel machines, data fusion, and compressive sensing) that currently have primary importance in the field of mathematical modelling for remote sensing and image processing. Each chapter focuses on a particular type of remote sensing data and/or on a specific methodological area, presenting both a thorough analysis of the previous literature and a methodological and experimental discussion of at least two advanced mathematical methods for information extraction from remote sensing data. This organization ensures that both tutorial information and advanced subjects are covered. With each chapter being written by research scientists from (at least) two different institutions, it offers multiple professional experiences and perspectives on each subject. The book also provides expert analysis and commentary from leading remote sensing and image processing researchers, many of whom serve on the editorial boards of prestigious international journals in these fields, and are actively involved in international scientific societies. Providing the reader with a comprehensive picture of the overall advances and the current cutting-edge developments in the field of mathematical models for remote sensing image analysis, this book is ideal as both a reference resource and a textbook for graduate and doctoral students as well as for remote sensing scientists and practitioners.


Aerial imagery Image processing Mathematical modelling Remote Sensing Satellite imagery

Editors and affiliations

  • Gabriele Moser
    • 1
  • Josiane Zerubia
    • 2
  1. 1.University of GenoaGenoaItaly
  2. 2.Université Côte d’AzurInriaSophia Antipolis CedexFrance

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-66328-9
  • Online ISBN 978-3-319-66330-2
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site
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