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Proceedings Paper

Multi-look fusion identification: a paradigm shift from quality to quantity in data samples
Author(s): S. Wong
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Paper Abstract

A multi-look identification method known as score-level fusion is found to be capable of achieving very high identification accuracy, even when low quality target signatures are used. Analysis using measured ground vehicle radar signatures has shown that a 97% correct identification rate can be achieved using this multi-look fusion method; in contrast, only a 37% accuracy rate is obtained when single target signature input is used. The results suggest that quantity can be used to replace quality of the target data in improving identification accuracy. With the advent of sensor technology, a large amount of target signatures of marginal quality can be captured routinely. This quantity over quality approach allows maximum exploitation of the available data to improve the target identification performance and this could have the potential of being developed into a disruptive technology.

Paper Details

Date Published: 4 May 2009
PDF: 12 pages
Proc. SPIE 7335, Automatic Target Recognition XIX, 73350G (4 May 2009); doi: 10.1117/12.818049
Show Author Affiliations
S. Wong, Defence Research and Development Canada (Canada)

Published in SPIE Proceedings Vol. 7335:
Automatic Target Recognition XIX
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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