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Proceedings Paper

Convex set estimation from support line measurements and applications to target reconstruction from laser radar data
Author(s): Avinash S. Lele; Sanjeev R. Kulkarni; Alan S. Willsky
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Paper Abstract

This paper extends techniques of convex set reconstruction from support line measurements, assesses their performance with respect to various parameters, and applies these to laser radar data. Specifically, the techniques are applied to both range-resolved and Doppler-resolved data, which provide one and two support line measurements, respectively. The resulting reconstructions provide size and shape estimates of the targets under observation. While such information can be obtained by other means (e.g., from reconstructed images using tomography), the present methods yield this information more directly. Furthermore, estimates obtained using these methods are more robust to noisy and/or sparse measurement data and are much more robust to data suffering from registration errors. Finally, the present methods are used to improve tomographic images in the presence of registration errors.

Paper Details

Date Published: 1 May 1990
PDF: 25 pages
Proc. SPIE 1222, Laser Radar V, (1 May 1990); doi: 10.1117/12.18368
Show Author Affiliations
Avinash S. Lele, Massachusetts Institute of Technology (United States)
Sanjeev R. Kulkarni, Massachusetts Institute of Technology (United States)
Alan S. Willsky, Massachusetts Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1222:
Laser Radar V
Richard J. Becherer, Editor(s)

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