Modified matched filter for cloud clutter suppression
Schmidt, W.A.C.
US Naval Air Dev. Center, Warminster, PA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jun 1990
Volume: 12,
Issue: 6
On page(s): 594-600
ISSN: 0162-8828
References Cited: 5
CODEN: ITPIDJ
INSPEC Accession Number: 3724668
Digital Object Identifier: 10.1109/34.56196
Current Version Published: 2002-08-06
Abstract
The least-mean-square (LMS) filter has been developed as an
alternative to the classical matched filter (MF) to address the
clutter-spectrum issue. However, the output of the MF and the LMS
processes is dependent on the scene energy and marginally dependent on
the filter signal shape. An approach referred to as the modified matched
filter (MMF) is presented. The MMF is a product of the LMS filter and a
nonlinear operator known as the inverse Euclidean distance. The
nonlinear operator modifies the LMS filter to improve its sensitivity to
signal shape. A comparison indicates the relative merit of including
shape detection in the LMS clutter-suppression process. Infrared cloud
scenes from the background measurements and analysis program (BMAP) were
used to demonstrate the relative clutter-suppression performance for
both the LMS and the MMF processes. A performance metric is developed to
measure cloud clutter suppression quantitatively
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