27 July 1999 Target detection via combination of feature-based target-measure images
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jorge E. Perez-Jacome, Jorge E. Perez-Jacome, Vijay K. Madisetti, 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); doi: 10.1117/12.357175; https://doi.org/10.1117/12.357175


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