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Mathematical models for remote sensi...

Moser, Gabriele.

Mathematical models for remote sensing image processingmodels and methods for the analysis of 2D satellite and aerial images /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical models for remote sensing image processingedited by Gabriele Moser, Josiane Zerubia.
Reminder of title:	models and methods for the analysis of 2D satellite and aerial images /
other author:	Moser, Gabriele.
Published:	Cham :Springer International Publishing :2018.
Description:	x, 441 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Image processingMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-319-66330-2
ISBN:	9783319663302$q(electronic bk.)

Mathematical models for remote sensing image processingmodels and methods for the analysis of 2D satellite and aerial images /
Mathematical models for remote sensing image processingmodels and methods for the analysis of 2D satellite and aerial images /[electronic resource] :edited by Gabriele Moser, Josiane Zerubia. - Cham :Springer International Publishing :2018. - x, 441 p. :ill., digital ;24 cm. - Signals and communication technology,1860-4862. - Signals and communication technology..

Mathematical models and methods for remote sensing image analysis: an introduction -- Models for hyperspectral image analysis: from unmixing to object-based classiﬁcation -- Very high spatial resolution optical imagery: tree-based methods and multi-temporal models for mining and analysis -- Very high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models -- Polarimetric SAR modelling: Mellin kind statistics and time-frequency analysis -- Remote sensing data fusion: guided ﬁlter-based hyperspectral pansharpening and graph-based feature-level fusion -- "Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classiﬁcation -- Change detection in multitemporal images through single-and multi-scale approaches -- Satellite image time series: mathematical models for data mining and missing data restoration -- Advances in kernel machines for image classification and biophysical parameter retrieval.

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.

ISBN: 9783319663302$q(electronic bk.)

Standard No.: 10.1007/978-3-319-66330-2doiSubjects--Topical Terms:

238099
Image processing
--Mathematical models.

LC Class. No.: TA1637.5

Dewey Class. No.: 621.3678015118

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245 0 0 $a Mathematical models for remote sensing image processing $h [electronic resource] : $b models and methods for the analysis of 2D satellite and aerial images / $c edited by Gabriele Moser, Josiane Zerubia.
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490 1 $a Signals and communication technology, $x 1860-4862
505 0 $a Mathematical models and methods for remote sensing image analysis: an introduction -- Models for hyperspectral image analysis: from unmixing to object-based classiﬁcation -- Very high spatial resolution optical imagery: tree-based methods and multi-temporal models for mining and analysis -- Very high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models -- Polarimetric SAR modelling: Mellin kind statistics and time-frequency analysis -- Remote sensing data fusion: guided ﬁlter-based hyperspectral pansharpening and graph-based feature-level fusion -- "Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classiﬁcation -- Change detection in multitemporal images through single-and multi-scale approaches -- Satellite image time series: mathematical models for data mining and missing data restoration -- Advances in kernel machines for image classification and biophysical parameter retrieval.
520 $a 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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650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
650 2 4 $a Optics, Lasers, Photonics, Optical Devices. $3 758151
650 2 4 $a Remote Sensing/Photogrammetry. $3 274522
700 1 $a Moser, Gabriele. $3 802310
700 1 $a Zerubia, Josiane. $3 468570
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