Share Email Print
cover

Proceedings Paper

Remote object recognition by analysis of surface structure
Author(s): Jane L. Wurster; Henry Stark; Elwood T. Olsen; Kent J. Kogler
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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
Show Author Affiliations
Jane L. Wurster, 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)


Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)

© SPIE. Terms of Use
Back to Top