Adaptive dim point target detection and tracking infrared images

Adaptive dim point target detection and tracking infrared images

Approved for public release; distribution is unlimited === 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 f...

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Bibliographic Details
Main Author: DeMars, Thomas V.
Other Authors: Therrien, Charles W.
Format: Others
Language:en_US
Published: Dece
Subjects:
Two Dimensional LMS
Two Dimensional RLS
Significance testing
Point Target detection and tracking
Image Processing
Two Dimensional prediction
Online Access:http://hdl.handle.net/10945/22858
Description
Summary:Approved for public release; distribution is unlimited === 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. === http://archive.org/details/adaptivedimpoint00dema === Major, United States Marine Corps

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