Data Fusion Mathematics: Theory and Practice (2)

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Synopsis
Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion (DF) and provides a proper and adequate understanding of the basic mathematics directly related to DF.This new edition offers updated chapters alongside four new chapters that are based on recent research carried out by the authors, including topics on machine learning techniques, target localization using a network of 2D ground radar, thermal imaging sensors for multi‑target angle‑only tracking, and multi‑sensor data fusion for a single platform and team platforms. This book also covers major mathematical expressions, formulae and equations, and, where feasible, their derivations. It discusses signed distance function concepts, DF models and architectures, aspects and methods of types 1 and 2 fuzzy logics, and related practical applications. In addition, the authors cover soft computing paradigms that are finding increasing applications in multi-sensory DF approaches and applications.This text is geared toward researchers, scientists, teachers, and practicing engineers interested in and working in the multi‑sensor data fusion area.
Copyright:
2025

Book Details

Book Quality:
Publisher Quality
Book Size:
664 Pages
ISBN-13:
9781040362624
Related ISBNs:
9781003560265, 9781040071755, 9781040362563, 9781032904368
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Jitendra R. Raol, S. Sethu Selvi, Sudesh K. Kashyap, and Ailneni Sanketh
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Technology, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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