Machine learning in exploitation

John F. Gilmore

doi:10.1117/12.609895

19 May 2005 Machine learning in exploitation (Invited Paper)

John F. Gilmore

Proceedings Volume 5808, Algorithms for Synthetic Aperture Radar Imagery XII; (2005) https://doi.org/10.1117/12.609895
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Exploitation has largely focused on single look, single modality platform collections exploited by a variety of classification algorithms over the last several decades. But multi look, multi modality exploitation is the evolving paradigm for threat classification given the evolution and cost of near term unmanned vehicle system sensor platforms. This paper presents an overview of machine learning algorithms that have previously been applied to automatic target recognition, discusses the evolution of target recognition to the 2010 paradigm of multi look, multi modality valid target identification, and explores how advanced machine learning algorithms can be applied to address the exploitation problems of the next decade.

Citation Download Citation

John F. Gilmore "Machine learning in exploitation (Invited Paper)", Proc. SPIE 5808, Algorithms for Synthetic Aperture Radar Imagery XII, (19 May 2005); https://doi.org/10.1117/12.609895

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