Share Email Print
cover

Proceedings Paper

Detection of small targets in IR image sequences using VSLMS
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 25 August 2004
PDF: 11 pages
Proc. SPIE 5428, Signal and Data Processing of Small Targets 2004, (25 August 2004); doi: 10.1117/12.541308
Show Author Affiliations
Liang Ngee Ng, Nanyang Technological Univ. (Singapore)
Venkateswarlu Ronda, Institute for Infocomm Research (Singapore)
Eng Thiam Lim, Institute for Infocomm Research (Singapore)


Published in SPIE Proceedings Vol. 5428:
Signal and Data Processing of Small Targets 2004
Oliver E. Drummond, Editor(s)

© SPIE. Terms of Use
Back to Top