Share Email Print

Proceedings Paper

Some applications of conditional events and random sets for image estimation and system modeling
Author(s): Patrick A. Kelly; Haluk Derin; Weibo Gong
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

Recent advances in conditional event algebra and random set modeling hold the promise of enabling a systematic and consistent approach to information fusion in the context of statistical signal processing. In this paper we consider three potential applications of this approach: (1) iterated image estimation; (2) prior models for medical image reconstruction; and (3) knowledge-aided modeling of complex systems.

Paper Details

Date Published: 27 July 1999
PDF: 11 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357158
Show Author Affiliations
Patrick A. Kelly, Univ. of Massachusetts/Amherst (United States)
Haluk Derin, Univ. of Massachusetts/Amherst (United States)
Weibo Gong, Univ. of Massachusetts/Amherst (United States)

Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

© SPIE. Terms of Use
Back to Top