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Proceedings Paper

Target detection in images with generalized speckle noise
Author(s): Robert M. Gagliardi; Irving S. Reed; Xiaoli Yu
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Paper Abstract

In this research likelihood ratio detection algorithms are derived for general types of speckle densities and receiver noise models. It is shown that the mixture formulation leads naturally to a discard decision rule, in which certain pixels must be discarded (without replacement) prior to detection processing. Hence the scene processor involves a prefilter that passes over the data to apply the discard rule. Rules for determining the discard operation are derived, and shown to depend on the specific models for the speckle, signal, and noise. It is also shown that the discard filter does not simply make a binary decision concerning the presence or absence of speckle at each pixel point. Comparison of the discard filter to windowed median filters and hard limiting filters are shown. The work is applicable primarily to optical imaging sensors.

Paper Details

Date Published: 10 June 1994
PDF: 6 pages
Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); doi: 10.1117/12.177753
Show Author Affiliations
Robert M. Gagliardi, Univ. of Southern California (United States)
Irving S. Reed, Univ. of Southern California (United States)
Xiaoli Yu, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 2232:
Signal Processing, Sensor Fusion, and Target Recognition III
Ivan Kadar; Vibeke Libby, Editor(s)

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