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Proceedings Paper

Bayesian closely spaced object resolution with application to real data
Author(s): Walter E. Lillo; Nielson Wade Schulenburg
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Paper Abstract

A technique is presented for resolving closely spaced objects when the point spread function is not well known . The technique uses a Bayesian approach without the use of contrived penalty terms for model complexity.

Paper Details

Date Published: 31 July 2002
PDF: 11 pages
Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477601
Show Author Affiliations
Walter E. Lillo, The Aerospace Corp. (United States)
Nielson Wade Schulenburg, The Aerospace Corp. (United States)


Published in SPIE Proceedings Vol. 4729:
Signal Processing, Sensor Fusion, and Target Recognition XI
Ivan Kadar, Editor(s)

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