Paper
18 September 2009 A framework for the development and assessment of target classification algorithms
R. Hansford, M. Nicholas
Author Affiliations +
Abstract
This paper describes the design and implementation of a framework used to develop and assess novel classification algorithms applied to imagery from diverse sources, such as in-service thermal sensors and experimental burst illumination lasers. The framework is designed to aid with the development of algorithms where both high classification performance and fast execution are required. It addresses the issue of how to effectively divide development time and effort between the potentially conflicting tasks of improving performance and speed. The development of the framework and its implementation in MATLAB® are described, along with three short case studies showing its application during recent projects.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Hansford and M. Nicholas "A framework for the development and assessment of target classification algorithms", Proc. SPIE 7481, Electro-Optical and Infrared Systems: Technology and Applications VI, 748103 (18 September 2009); https://doi.org/10.1117/12.829506
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KEYWORDS
Algorithm development

Image processing

Detection and tracking algorithms

MATLAB

Machine learning

Wavelets

Computing systems

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