This book establishes the fundamentals (particularly definitions and architectures) in data fusion. The second part of the book is devoted to methods for the fusion of images. It offers an in-depth presentation of standard and advanced methods for the fusion of multi-modality images.
This book presents both a theoretical and empirical approach to data fusion. Several typical data fusion algorithms are discussed, analyzed and evaluated.
S. Mas, R. Bendoula, G. Agoda-Tandjawa, A. de Juan, J.M. Roger, Study of timedependent structural changes of laponite colloidal system by means of near-infrared spectroscopy and hybrid hard-and soft-modelling multivariate curve ...
This book represents our attempt at providing a mathematical foundation upon which data fusion algorithms can be constructed and analyzed.
The book explores object and situation fusion processes with an appropriate handling of uncertainties, and applies cutting-edge artificial intelligence and emerging technologies like particle filtering, spatiotemporal clustering, net ...
Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the state of the art of data fusion in a distributed sensing, communications, and computing environment.
In the modified track-to-track fusion algorithm of Gao and Harris [97] we calculate a single predicted pdf p(θk|y(1:M)1:k−1,I) using the ... Reading. Chen [40] has provided a very readable, comprehensive survey of Bayesian filtering.
In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical ...
Dempster - Shafer's method : In 1976 , Arthur Dempster and Glen Shafer introduced a generalization of the Bayesian inference method in a book entitled A Mathematical Theory of Evidence [ 6 ] . Analogous to the Bayesian inference method ...
Data Fusion for Attitude Estimation of a Projectile From Theory to In-Flight Demonstration From Theory to In-Flight Demonstration Sébastien Changey and Emmanuel Pecheur CONTENTS 29.1 Navigation of Projectile and Specific Features 29.1.1 ...
Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial ...