Remote object recognition by analysis of surface structure

Jane L. Wurster; Henry Stark; Elwood T. Olsen; Kent J. Kogler

doi:10.1117/12.216857

18 August 1995 Remote object recognition by analysis of surface structure

Jane L. Wurster, Henry Stark, Elwood T. Olsen, Kent J. Kogler

Proceedings Volume 2622, Optical Engineering Midwest '95; (1995) https://doi.org/10.1117/12.216857
Event: Optical Engineering Midwest '95, 1995, Chicago, IL, United States

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.

Citation Download Citation

Jane L. Wurster, Henry Stark, Elwood T. Olsen, and Kent J. Kogler "Remote object recognition by analysis of surface structure", Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); https://doi.org/10.1117/12.216857

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