AIJul 27, 2015

Unification of Fusion Theories, Rules, Filters, Image Fusion and Target Tracking Methods (UFT)

arXiv:1507.07462v11 citations
Originality Synthesis-oriented
AI Analysis

This work targets researchers and practitioners in fusion and engineering fields by offering a flexible, updatable framework, though it appears incremental as it builds on existing methods without introducing a new paradigm.

The author proposes a unification framework for fusion theories, rules, filters, image fusion, and target tracking methods to address the lack of a single approach that satisfies all applications, aiming for more accurate real-world problem-solving.

The author has pledged in various papers, conference or seminar presentations, and scientific grant applications (between 2004-2015) for the unification of fusion theories, combinations of fusion rules, image fusion procedures, filter algorithms, and target tracking methods for more accurate applications to our real world problems - since neither fusion theory nor fusion rule fully satisfy all needed applications. For each particular application, one selects the most appropriate fusion space and fusion model, then the fusion rules, and the algorithms of implementation. He has worked in the Unification of the Fusion Theories (UFT), which looks like a cooking recipe, better one could say like a logical chart for a computer programmer, but one does not see another method to comprise/unify all things. The unification scenario presented herein, which is now in an incipient form, should periodically be updated incorporating new discoveries from the fusion and engineering research.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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