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Proceedings Paper

Target detection via combination of feature-based target-measure images
Author(s): Jorge E. Perez-Jacome; Vijay K. Madisetti
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Paper Abstract

We present an approach to perform automatic target detection of small targets from coregistered visual, thermal, and range images, using five features of value for target discrimination: Brightness, Texture, Temperature, Surface Planarity, and Height. For each, we proposed a set of operations to extract targets from the images, using inherent target properties that differentiate them from clutter. Each of the target extractors yields a `Target Measure' image, based on a specific feature. These, when combined appropriately, yield better results than those obtained by individual, single image detectors. Two methods are presented to perform information fusion on the target measure images: Binary Combination and Fuzzy Combination. Experimental results using both combination methods on synthetic and real imagery are given with very satisfactory results. A morphological operation called `erosion of strength n' is introduced and utilized as a powerful tool for removal of spurious information in binary images.

Paper Details

Date Published: 27 July 1999
PDF: 12 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357175
Show Author Affiliations
Jorge E. Perez-Jacome, Georgia Institute of Technology (United States)
Vijay K. Madisetti, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

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