Mathematical Techniques In Multisensor Data Fusion 2nd Ed.
David Hall, Sonya A. H. McMullenBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
"Since the publication of the first edition of Mathematical Techniques in Multisensor Data Fusion, advances in algorithms, logic, and software tools have transformed the field of data fusion. This updated edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis, and data system fusion control." Besides assisting practitioners in selecting the appropriate algorithm for implementing a data, fusion system, this book offers guidance in determining the trade-offs among competing data fusion algorithms, selecting commercial off-the-shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control and the latest applications of data fusion in data warehousing, medical equipment, and defense systems.Synopsis
Hall (associate dean for research, The Pennsylvania State University School of Information Sciences and Technology) and McMullen, a captain with the US Air Force, assist practitioners in selecting the appropriate algorithm for implementing a data fusion system, and offer guidance in determining the trade-offs among competing data fusion algorithms, selecting commercial off-the-shelf tools, and understanding when data fusion improves system processing. New chapters in this second edition explain data fusion system control and the latest applications of data fusion in data warehousing, medical equipment, and defense systems. Annotation ©2004 Book News, Inc., Portland, OR
Booknews
Research into how to combine data from multiple (and sometimes different) sensors to find out what is going on, has been split between military (battlefield surveillance, etc.) and non-military (robotics, etc.) concerns. The two groups don't speak to each other, and have developed different approaches, techniques, and terminology. Here is a distillation of the mathematics they both use for data- fusion reduced to the bare bones to be comprehensible to researchers and application engineers in many fields. Annotation c. Book News, Inc., Portland, OR (booknews.com)