Abstract

This paper describes a Directional High-order Correlation Method (DHCM) for detecting dim Point-Source Target (PST) in IR noise. By exploiting the directional characteristics and the consecutive temporal-spatial dependencies of the points on a track, the DHCM computes the correlations between different frames and identifies targets' tracks among noisy images. Theoretical analyses and simulation results show that the DHCM has high capability in noise rejection. A DHCM-based scheme has been proposed for tracking initiation and updating. The presented simulation results for PST detecting in low SNR (<EQ 2) indicates the effectiveness of the proposed DHCM in detecting dim moving PST.

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