Analysis Of Variance: A Statistical Approach To Pattern Recognition And Motion Detection

Gerhard X. Ritter; Jamil Ahmad

doi:10.1117/12.944871

4 December 1984 Analysis Of Variance: A Statistical Approach To Pattern Recognition And Motion Detection

Gerhard X. Ritter, Jamil Ahmad

Proceedings Volume 0504, Applications of Digital Image Processing VII; (1984) https://doi.org/10.1117/12.944871
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

Abstract

The potential of the analysis of variance (ANOVA) as a pattern recognition tool is evaluated and two specific examples are presented. First, we present the 2-way ANOVA as employed in NASA's Project Oasis - the design of a signal detector for the search for extraterrestrial intelligence (SETI). In the Oasis design, ANOVA is capable of detecting non-random signals in an 8 million x 1000 matrix band of noisy signal data in quasi real-time. The presence of a signal with low signal-to-noise ratio is detected by the ANOVA by a rejection of the null hypothesis for certain row and/or column effects of compacted submatrices. In a somewhat analogous fashion, a 3-way ANOVA is used to detect camouflaged moving targets. Targets not differentiable from their background by the eye can be detected by the ANOVA.

Citation Download Citation

Gerhard X. Ritter and Jamil Ahmad "Analysis Of Variance: A Statistical Approach To Pattern Recognition And Motion Detection", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944871

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