Adaptive dim point target detection and tracking infrared images
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Authors
DeMars, Thomas V.
Subjects
Two Dimensional LMS
Two Dimensional RLS
Significance testing
Point Target detection and tracking
Image Processing
Two Dimensional prediction
Two Dimensional RLS
Significance testing
Point Target detection and tracking
Image Processing
Two Dimensional prediction
Advisors
Therrien, Charles W.
Date of Issue
1988-12
Date
December 1988
Publisher
Language
en_US
Abstract
The thesis deals with the detection and tracking of dim
point targets in infrared images. Research topics include
image process modeling with adaptive two-dimensional Least
Mean Square (LMS) and Recursive Least Squares (RLS) prediction
filters. Target detection is performed by significance
testing the prediction error residual. A pulse tracker is
developed which may be adjusted to discriminate target
dynamics. The methods are applicable to detection and
tracking in other spectral bands.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
141 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.