Performance evaluation of quadratic correlation filters for target detection and discrimination in infrared imagery

S. Richard F. Sims; Abhijit Mahalanobis

doi:10.1117/1.1767195

1 August 2004 Performance evaluation of quadratic correlation filters for target detection and discrimination in infrared imagery

S. Richard F. Sims, Abhijit Mahalanobis

Author Affiliations +

Optical Engineering, Vol. 43, Issue 8, (August 2004). https://doi.org/10.1117/1.1767195

Abstract

The detection and discrimination of targets in infrared imagery has been a challenging problem due to the variability of target and clutter (background) signatures. We discuss the application of a novel quadratic filtering method using missile seeker infrared closing sequences. Image filtering techniques are well suited for target detection applications, since they avoid the disadvantages of typical pixel-based detection schemes (such as segmentation and edge extraction). Another advantage is that the throughput complexity of the filtering approach, in the detection process, also does not vary with scene content. The performance of the proposed approach is assessed on several datasets, and the results are compared with that of previous linear filtering techniques. Since we can obtain the signature of some of the clutter "in the field" or during operation, we examine the impact of updating the filters to adapt to the clutter.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

S. Richard F. Sims and Abhijit Mahalanobis "Performance evaluation of quadratic correlation filters for target detection and discrimination in infrared imagery," Optical Engineering 43(8), (1 August 2004). https://doi.org/10.1117/1.1767195

Published: 1 August 2004

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