Mathematical Models for Remote Sensing Image Processing
Models and Methods for the Analysis of 2D Satellite and Aerial Images
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Beschreibung
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 methodologicaland 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.
Presents the series “Signals and Communications Technology”
Is devoted to fundamentals and applications of modern methods of signal processing and cutting-edge communication technologies
Includes major topics such as information and signal theory, acoustic signal processing, image processing and multimedia systems
Describes mobile and wireless communications, as well as and computer and communication networks
Addresses researchers in academia and industrial R&D departments
Is devoted to fundamentals and applications of modern methods of signal processing and cutting-edge communication technologies Includes major topics such as information and signal theory, acoustic signal processing, image processing and multimedia systems Describes mobile and wireless communications, as well as and computer and communication networks Addresses researchers in academia and industrial R&D departments Includes supplementary material: sn.pub/extras
Autor*in
Gabriele Moser
Themen in »Mathematical Models for Remote Sensing Image Processing«
Aerial imagery Image processing Remote Sensing Satellite imagery remote sensing/photogrammetry
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“The book provides a comprehensive picture of the advances in the field of mathematical models in 2D remote sensing image analysis, which is ideal as a reference resource for remote sensing scientists, practitioners, as well as graduate and doctoral students. ... The book is presented in a lucid manner, starting with the basics and using unified notation throughout. It is therefore self-contained enough to help beginners, too.” (Zoltan Kato, IAPR Newsletter, Vol. 41 (3), July, 2019)
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