@article{824843,
      recid = {824843},
      author = {Moser, Gabriele, and Zerubia, Josiane,},
      title = {Mathematical models for remote sensing image processing :  models and methods for the analysis of 2D satellite and  aerial images /},
      pages = {1 online resource.},
      abstract = {"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."--},
      url = {http://library.usi.edu/record/824843},
      doi = {https://doi.org/10.1007/978-3-319-66330-2},
}