Efficient methods for correlation-based automatic target recognition

Bhagavatula Vijaya Kumar; Krithika Venkataramani; Marios Savvides

doi:10.1117/12.477025

25 July 2002 Efficient methods for correlation-based automatic target recognition

Bhagavatula Vijaya Kumar, Krithika Venkataramani, Marios Savvides

Proceedings Volume 4726, Automatic Target Recognition XII; (2002) https://doi.org/10.1117/12.477025
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

Composite correlation filters (also known as synthetic discriminant function or SDF filters) are attractive for automatic target recognition (ATR) due to their built-in shift-invariance and their potential for trading off distortion tolerance for discrimination. Although the recognition performances of many advanced correlation filters are attractive, their computational complexities can be daunting particularly for ATR applications where the target detection and identification must be achieved in limited time. In this paper, we discuss some methods to reduce the complexity of correlation filter design, performing the cross-correlation as well as the processing of the resulting correlation outputs.

Citation Download Citation

Bhagavatula Vijaya Kumar, Krithika Venkataramani, and Marios Savvides "Efficient methods for correlation-based automatic target recognition", Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); https://doi.org/10.1117/12.477025

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