This concept will be given a more concrete meaning in. As a consequence, various data fusion techniques have been investigated for years, such. Level 4 and the dissemination activities of the intelligence. This textbook provides a comprehensive introduction to. Issues and challenges in situation assessment level 2 fusion pdf. This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. An introduction which was originally published by springerverlag in 2007.
Frequently, different sources store data about the same realworld entities, however with conflicts in the values of their features. Concepts and ideas chapter february 2012 with 260 reads. Introduction to sensor data fusion methods and applications. An overview of methods, challenges and prospects dana lahat, t.
No previous knowledge of multisensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus, and simple probability is recommended. The concept of data fusion has origins in the evolved capacity of humans and animals to incorporate information from multiple senses to improve their. Instead, and building upon 8 14, 16, 152, 163, 164 and others, we wish to provide a deeper and broader understanding of the concepts and ideas that underlie data fusion. Pdf the integration of data and knowledge from several sources is known as data fusion. The pdf pxk k1 in the equation 1 is a prediction of the knowledge on the. This paper summarizes the state of the data fusion field and. This extensively revised second edition is a wideranging introduction to the concepts and ideas of multisensor data fusion, illustrated with a wealth of reallife examples. Data fusion is the process of integrating multiple data sources to produce more consistent. The goal of this paper is to provide some ideas, perspec tives, and. Comprehensive introduction to the concepts and idea of multisensor data fusion. The book is selfcontained and no previous knowledge of multisensor data fusion is. These basic ideas are transferable to many types of problems.
A fundamental concept in the dempstershafer reason. Sensor data fusion methods and applications, 6th lecture. Concepts and ideas intended to be selfcontained, data fusion provides a comprehensive introduction to the concepts of multisensor data fusion. This textbook is an extensively revised second edition of the authors successful book.
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