Distortion-tolerant minimum-mean-squared-error filter for detecting noisy targets in environmental degradation

Francis Chan; Nasser Towghi; Luting Pan; Bahram Javidi

doi:10.1117/1.1305543

1 August 2000 Distortion-tolerant minimum-mean-squared-error filter for detecting noisy targets in environmental degradation

Francis Chan, Nasser Towghi, Luting Pan, Bahram Javidi

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Optical Engineering, Vol. 39, Issue 8, (August 2000). https://doi.org/10.1117/1.1305543

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.

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Francis Chan, Nasser Towghi, Luting Pan, and 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

Published: 1 August 2000

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