Detection of small targets in IR image sequences using VSLMS

Liang Ngee Ng; Venkateswarlu Ronda; Eng Thiam Lim

doi:10.1117/12.541308

25 August 2004 Detection of small targets in IR image sequences using VSLMS

Liang Ngee Ng, Venkateswarlu Ronda, Eng Thiam Lim

Proceedings Volume 5428, Signal and Data Processing of Small Targets 2004; (2004) https://doi.org/10.1117/12.541308
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

A Vertical-Strip Least Mean Squared (VSLMS) algorithm is proposed to enhance the detection of small moving targets in IR image sequences. This algorithm is an improvement over the Two-Dimensional LMS (TDLMS), which is designed to detect small targets within highly correlated background of static images. This paper focuses on processing IR image sequences with different background features with layers of sky, sea and land clutter. The VSLMS uses multiple LMS modules and a different scanning method to process individual lines in the IR image sequences. Simulation results show successful enhancement of very small targets in an IR mage sequence.

Citation Download Citation

Liang Ngee Ng, Venkateswarlu Ronda, and Eng Thiam Lim "Detection of small targets in IR image sequences using VSLMS", Proc. SPIE 5428, Signal and Data Processing of Small Targets 2004, (25 August 2004); https://doi.org/10.1117/12.541308

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