Paper
22 October 2001 Signature adaptive mine detection at a constant false alarm rate
Frank J. Crosby, Steve Riley
Author Affiliations +
Abstract
A constant false alarm rate algorithm has been developed for use in multi-band mine detection. While it is often difficult to predict the spectral signatures of targets, the shape of the target may be known. This test exploits geometric target features and spectral differences between the target and the surrounding area. The algorithm is derived from a general statistical model of the data, which allows it to adapt to changing backgrounds and variable signatures.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank J. Crosby and Steve Riley "Signature adaptive mine detection at a constant false alarm rate", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445388
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Statistical analysis

Land mines

Algorithm development

Target detection

Data modeling

Multispectral imaging

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