Target detection via combination of feature-based target-measure images

Jorge E. Perez-Jacome; Vijay K. Madisetti

doi:10.1117/12.357175

27 July 1999 Target detection via combination of feature-based target-measure images

Jorge E. Perez-Jacome, Vijay K. Madisetti

Proceedings Volume 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII; (1999) https://doi.org/10.1117/12.357175
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Jorge E. Perez-Jacome and Vijay K. Madisetti "Target detection via combination of feature-based target-measure images", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); https://doi.org/10.1117/12.357175

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