1 August 2000 Distortion-tolerant minimum-mean-squared-error filter for detecting noisy targets in environmental degradation
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Abstract
single-template algorithms are useful when the orientation of the target is known. However, if a target's exact aspect angle is unknown a priori, then multiple templates may be combined to yield a distortion- tolerant filter. In addition, the presence of environmental degradation between the target and the observer degrades the detection and classification performance of electro-optical sensors. We introduce a minimum- mean-squared-error filtering algorithm that takes into account the environmental degradation, additive system noise, nonoverlapping background noise, and target distortions. This distortion-tolerant filter is shown to be tolerant of different target aspects, and detects true class targets well in complex scenes.
Francis Chan, Francis Chan, Nasser Towghi, Nasser Towghi, Luting Pan, Luting Pan, Bahram Javidi, Bahram Javidi, } "Distortion-tolerant minimum-mean-squared-error filter for detecting noisy targets in environmental degradation," Optical Engineering 39(8), (1 August 2000). https://doi.org/10.1117/1.1305543 . Submission:
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