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Proceedings Paper

Robust scale invariant small target detection using the Laplacian scale-space theory
Author(s): Sungho Kim; Yukyung Yang; Joohyoung Lee; Yongchan Park
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Paper Abstract

This paper presents a new small target detection method using scale invariant feature. Detecting small targets whose sizes are varying is very important to automatic target detection in infrared search and track (IRST). The conventional spatial filtering methods with fixed sized kernel show limited target detection performance for incoming targets. The scale invariant target detection can be defined as searching for maxima in the 3D (x, y, and scale) representation of an image with the Laplacian function. The scale invariant feature can detect different sizes of targets robustly. Experimental results with real FLIR images show higher detection rate and lower false alarm rate than conventional methods. Furthermore, the proposed method shows very low false alarms in scan-based IR images than conventional filters.

Paper Details

Date Published: 16 April 2008
PDF: 11 pages
Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69691I (16 April 2008); doi: 10.1117/12.777036
Show Author Affiliations
Sungho Kim, Agency for Defense Development (South Korea)
Yukyung Yang, Agency for Defense Development (South Korea)
Joohyoung Lee, Agency for Defense Development (South Korea)
Yongchan Park, Agency for Defense Development (South Korea)

Published in SPIE Proceedings Vol. 6969:
Signal and Data Processing of Small Targets 2008
Oliver E. Drummond, Editor(s)

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