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Data Fusion: Concepts and Ideas

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Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	363619747 Buchausg. u.d.T.: ‡Mitchell, Harvey B.: Data fusion
ISBN	978-3-642-27221-9
Name	Mitchell, H B.
T I T E L	Data Fusion: Concepts and Ideas
Auflage	2nd ed. 2012
Verlagsort	Berlin, Heidelberg
Verlag	Springer Berlin Heidelberg
Erscheinungsjahr	2012
Erscheinungsjahr	2012
Umfang	Online-Ressource (XIV, 346p, digital)
Reihe	SpringerLink. Bücher
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	""Title Page ""; ""Preface""; ""Contents""; ""Introduction""; ""Definition""; ""Synergy""; ""Multi-sensor Data Fusion Strategies""; ""Fusion Type""; ""Sensor Configuration""; ""Input/Output Characteristics""; ""Formal Framework""; ""Multi-sensor Integration""; ""Catastrophic Fusion""; ""Organization""; ""Further Reading""; ""References""; ""Sensors""; ""Introduction""; ""Smart Sensor""; ""Logical Sensors""; ""Interface File System (IFS)""; ""Interface Types""; ""Timing""; ""Sensor Observation""; ""Sensor Uncertainty ""; ""Sensor Characteristics""; ""Sensor Model""; ""Further Reading"". ""References""""Architecture""; ""Introduction""; ""Fusion Node""; ""Properties""; ""Simple Fusion Networks""; ""Single Fusion Cell""; ""Parallel Network""; ""Serial Network""; ""Iterative Network""; ""Network Topology""; ""Centralized""; ""Decentralized""; ""Hierarchical""; ""Software""; ""Further Reading""; ""References""; ""Common Representational Format""; ""Introduction""; ""Spatial-temporal Transformation""; ""Geographical Information System ""; ""Spatial Covariance Function""; ""Common Representational Format""; ""Subspace Methods""; ""Principal Component Analysis"". ""Linear Discriminant Analysis""""Multiple Training Sets""; ""Software""; ""Further Reading""; ""References""; ""Spatial Alignment""; ""Introduction""; ""Image Registration""; ""Mutual Information""; ""Histogram Estimation""; ""Kernel Density Estimation""; ""Regional Mutual Information""; ""Optical Flow ""; ""Feature-Based Image Registration""; ""Resample/Interpolation""; ""Pairwise Transformation""; ""Uncertainty Estimation ""; ""Image Fusion""; ""Fusion of PET and MRI Images""; ""Shape Averaging""; ""Mosaic Image""; ""Software""; ""Further Reading""; ""References""; ""Temporal Alignment"". ""Introduction""""Dynamic Time Warping""; ""Dynamic Programming""; ""Derivative Dynamic Time Warping""; ""Continuous Dynamic Time Warping""; ""One-Sided DTW Algorithm""; ""Video Compression""; ""Video Denoising""; ""Multiple Time Series""; ""Software""; ""Further Reading""; ""References""; ""Semantic Alignment""; ""Introduction""; ""Assignment Matrix""; ""Clustering Algorithms""; ""Cluster Ensembles""; ""Co-association Matrix""; ""Software""; ""Further Reading""; ""References""; ""Radiometric Normalization""; ""Introduction""; ""Scales of Measurement""; ""Degree-of-Similarity Scales"". ""Radiometric Normalization""""Binarization""; ""Parametric Normalization Functions""; ""Fuzzy Normalization Functions""; ""Ranking""; ""Conversion to Probabilities""; ""Multi-class Probability Estimates ""; ""Software""; ""Further Reading""; ""References""; ""Bayesian Inference""; ""Introduction""; ""Bayesian Analysis""; ""Probability Model""; ""A Posteriori Distribution""; ""Standard Probability Distribution Functions""; ""Conjugate Priors""; ""Non-informative Priors""; ""Missing Data""; ""Gaussian Mixture Model""; ""Model Selection""; ""Laplace Approximation""; ""Bayesian Model Averaging"". ""Computation ""
Titelhinweis	Buchausg. u.d.T.: ‡Mitchell, Harvey B.: Data fusion
ISBN	ISBN 978-3-642-27222-6
Klassifikation	TTBM
	UYS
	TEC008000
	COM073000
	*68-02
	62-01
	93-01
	68T05
	94A12
	68T45
	621.399
	621.382
	TK5102.9
	TA1637-1638
	TK7882.S65
	ZQ 3130
Kurzbeschreibung	H B Mitchell
2. Kurzbeschreibung	This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised second edition of the author's successful book: 'Multi-Sensor Data Fusion: An Introduction' which was originally published by Springer-Verlag in 2007. The main changes in the new book are: New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages longer than the original book. Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text. Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended. Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident. The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.
1. Schlagwortkette	Multisensor
1. Schlagwortkette	Datenfusion
1. Schlagwortkette ANZEIGE DER KETTE	Multisensor -- Datenfusion
2. Schlagwortkette	Multisensor
2. Schlagwortkette	Datenfusion
ANZEIGE DER KETTE	Multisensor -- Datenfusion
SWB-Titel-Idn	360156363
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-27222-6
Internetseite / Link	Volltext
Siehe auch	Inhaltsverzeichnis
Siehe auch	Volltext
Siehe auch	Inhaltstext

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