Change Detection and Image Time-Series Analysis 1: Unervised Methods, Atto Abdourramahn, Bovolo Francesca, Bruzzone Lorenzo

Автор: Atto Abdourrahmane M., Bovolo Francesca, Bruzzone Lorenzo
Название: Change Detection and Image Time Series Analysis 2: Supervised Methods
ISBN: 1789450578 ISBN-13(EAN): 9781789450576
Издательство: Wiley
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Цена: 145670.00 T
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Описание: Change Detection and Image Time Series Analysis 2 presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multiresolution and multitemporal data. It proposes two supervised solutions that are based on a Markov random field: the first relies on a quad-tree and the second is specifically designed to deal with multimission, multifrequency and multiresolution time series.

Chapter 2 provides an overview of pixel based methods for time series classification, from the earliest shallow learning methods to the most recent deep-learning-based approaches.

Chapter 3 focuses on very high spatial resolution data time series and on the use of semantic information for modeling spatio-temporal evolution patterns.

Chapter 4 centers on the challenges of dense time series analysis, including pre processing aspects and a taxonomy of existing methodologies. Finally, since the evaluation of a learning system can be subject to multiple considerations,

Chapters 5 and 6 offer extensive evaluations of the methodologies and learning frameworks used to produce change maps, in the context of multiclass and/or multilabel change classification issues.

Автор: Dahlhaus
Название: Mathematical methods in time series analysis and digital image processing
ISBN: 3540756310 ISBN-13(EAN): 9783540756316
Издательство: Springer
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Цена: 111790.00 T
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Описание: Intends to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences. This book summarizes work carried out in the field of theoretical signal and image processing.

Автор: Stanley Durrleman; Tom Fletcher; Guido Gerig; Marc
Название: Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
ISBN: 3319149040 ISBN-13(EAN): 9783319149042
Издательство: Springer
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Цена: 37270.00 T
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Описание:

Longitudinal Registration and Shape Modeling.- Longitudinal Modeling.- Reconstruction from Longitudinal Data.- 4D Image Processing.

Автор: Isupova Olga
Название: Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
ISBN: 303009250X ISBN-13(EAN): 9783030092504
Издательство: Springer
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Цена: 102480.00 T
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Описание: The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems.

Автор: Isupova
Название: Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
ISBN: 3319755072 ISBN-13(EAN): 9783319755076
Издательство: Springer
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Цена: 102480.00 T
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Описание: The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems.

Автор: Michal Kawulok; Emre Celebi; Bogdan Smolka
Название: Advances in Face Detection and Facial Image Analysis
ISBN: 3319259563 ISBN-13(EAN): 9783319259567
Издательство: Springer
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Цена: 93160.00 T
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Описание: Topicsof interest include face and facial landmark detection, face recognition, facialexpression and emotion analysis, facial dynamics analysis, face classification,identification, and clustering, and gaze direction and head pose estimation, aswell as applications of face analysis.

Автор: Kawulok Michal, Celebi Emre, Smolka Bogdan
Название: Advances in Face Detection and Facial Image Analysis
ISBN: 3319798642 ISBN-13(EAN): 9783319798646
Издательство: Springer
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Цена: 46570.00 T
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Описание: Topicsof interest include face and facial landmark detection, face recognition, facialexpression and emotion analysis, facial dynamics analysis, face classification,identification, and clustering, and gaze direction and head pose estimation, aswell as applications of face analysis.

Автор: Gerhard Winkler
Название: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods
ISBN: 3642629113 ISBN-13(EAN): 9783642629112
Издательство: Springer
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Цена: 93160.00 T
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Описание: "This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used....This book will be useful, especially to researchers with a strong background in probability and an interest in image analysis.

Автор: Jiri Jan
Название: Medical Image Processing, Reconstruction and Analysis: Concepts and Methods, Second Edition
ISBN: 113831028X ISBN-13(EAN): 9781138310285
Издательство: Taylor&Francis
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Цена: 224570.00 T
Наличие на складе: Невозможна поставка.
Описание: Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing, focusing namely on applications used in medical imaging – providing a theoretical yet clear and easy to follow explanation of underlying generic concepts. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction tobasic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining – without technical details – their basic principles influencing the properties of the obtained images, with emphasis placed on analyzing the internal signals and (pre)image data that are to be processed by the methods described in this book. Part III – Image Processing and Analysis focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods if image enhancement and restoration. It explains concepts of both fundamental-level image analysis detailing local feature, edge and texture analysis, image segmentation and morphological transforms, and higher-level analysis, as principal and independent component analysis and namely the new analysis area based on deep learning, namely that using convolutional neural networks. Briefly, also the medical image-processing environment is briefly treated, including the processes for image archiving and communication. Features Presents a good, theoretically exact yet understandable overview of basic theory related to image processing and analysis, with practical interpretations of all theoretical conclusions Provides a concise treatment of a wide variety of medical imaging modalities with respect to properties of image data to be processed Includes topical discussions on medical image reconstruction, fusion, enhancement and restoration as well as on image analysis including the recently appearing deep-learning based methods Explores appropriate applications relevant to particular chapters

Автор: Luc Florack; Remco Duits; Geurt Jongbloed; Marie-C
Название: Mathematical Methods for Signal and Image Analysis and Representation
ISBN: 1447158903 ISBN-13(EAN): 9781447158905
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book presents a mathematical methodology for image analysis tasks at the edge of current research, including anisotropic diffusion filtering of tensor fields. Instead of specific applications, it explores methodological structures on which they are built.