19 May 2005 Machine learning in exploitation (Invited Paper)
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John F. Gilmore, John F. Gilmore, } "Machine learning in exploitation (Invited Paper)", Proc. SPIE 5808, Algorithms for Synthetic Aperture Radar Imagery XII, (19 May 2005); doi: 10.1117/12.609895; https://doi.org/10.1117/12.609895


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