Proceedings Paper
Remote object recognition by analysis of surface structure| Format | Member Price | Non-Member Price |
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Paper Abstract
We present a new algorithm for the discrimination of remote objects by their surface structure. Starting from a range-azimuth function (RAF), we formulate a range-azimuth matrix whose largest eigenvalues are used as discriminating features to separate object classes. A simpler, competing algorithm uses the number of sign-changes in the RAF to discriminate between classes. While both algorithms work well on noiseless data, an experiment involving real data shows that the eigenvalue method is far more robust with respect to noise than the sign change method.
Paper Details
Date Published: 18 August 1995
PDF: 12 pages
Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); doi: 10.1117/12.216857
Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)
PDF: 12 pages
Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); doi: 10.1117/12.216857
Show Author Affiliations
Jane L. Wurster, Illinois Institute of Technology (United States)
Henry Stark, Illinois Institute of Technology (United States)
Henry Stark, Illinois Institute of Technology (United States)
Elwood T. Olsen, Illinois Institute of Technology (United States)
Kent J. Kogler, IIT Research Institute (United States)
Kent J. Kogler, IIT Research Institute (United States)
Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)
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