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Proceedings Paper

Principal-component filtering of single-shot laser radar signals
Author(s): Hendrik Rothe; Olaf Ginter; Andre Kasper
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Paper Abstract

In single-shot laser radar speckle noise, drop-outs, outliers, and eventually, non-cooperative targets are to be considered in order to ensure high accuracy and reliability of measurement data. The most common approach for the stabilization of laser radar data is temporal averaging over several shots. This, however, is not in all cases the best method for the reconstruction of noisy imagery data. It is shown that principal-component filtering can yield a remarkable improvement of accuracy and robustness of range data.

Paper Details

Date Published: 23 September 1994
PDF: 12 pages
Proc. SPIE 2271, Industrial Applications of Laser Radar, (23 September 1994); doi: 10.1117/12.188160
Show Author Affiliations
Hendrik Rothe, Federal Armed Forces Univ. (Germany)
Olaf Ginter, Federal Armed Forces Univ. (Germany)
Andre Kasper, Federal Armed Forces Univ. (Germany)


Published in SPIE Proceedings Vol. 2271:
Industrial Applications of Laser Radar
Gary W. Kamerman; William E. Keicher, Editor(s)

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