Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Mathematical Models for Remote Sensing Image Processing - Models and Methods for the Analysis of 2D Satellite and Aerial Images (Hardcover, 1st ed. 2018)
Loot Price: R6,337
Discovery Miles 63 370
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Mathematical Models for Remote Sensing Image Processing - Models and Methods for the Analysis of 2D Satellite and Aerial Images (Hardcover, 1st ed. 2018)
Series: Signals and Communication Technology
Expected to ship within 10 - 15 working days
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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.
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