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

id	ndltd-nps.edu-oai-calhoun.nps.edu-10945-22858
record_format	oai_dc
spelling	ndltd-nps.edu-oai-calhoun.nps.edu-10945-228582017-07-07T16:04:07Z Adaptive dim point target detection and tracking infrared images DeMars, Thomas V. Therrien, Charles W. Tummala, Murali Naval Postgraduate School Electrical and Computer Engineering Two Dimensional LMS Two Dimensional RLS Significance testing Point Target detection and tracking Image Processing Two Dimensional prediction 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 December 1988 2012-11-27T18:05:33Z 2012-11-27T18:05:33Z 1988-12 Thesis http://hdl.handle.net/10945/22858 en_US This publication is a work of U.S. Government as defined in Title 17, U.S. code, section 101. Copyright protection is not available for this work in the United States. 141 p. application/pdf
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
topic	Two Dimensional LMS Two Dimensional RLS Significance testing Point Target detection and tracking Image Processing Two Dimensional prediction
spellingShingle	Two Dimensional LMS Two Dimensional RLS Significance testing Point Target detection and tracking Image Processing Two Dimensional prediction DeMars, Thomas V. Adaptive dim point target detection and tracking infrared images
description	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
author2	Therrien, Charles W.
author_facet	Therrien, Charles W. DeMars, Thomas V.
author	DeMars, Thomas V.
author_sort	DeMars, Thomas V.
title	Adaptive dim point target detection and tracking infrared images
title_short	Adaptive dim point target detection and tracking infrared images
title_full	Adaptive dim point target detection and tracking infrared images
title_fullStr	Adaptive dim point target detection and tracking infrared images
title_full_unstemmed	Adaptive dim point target detection and tracking infrared images
title_sort	adaptive dim point target detection and tracking infrared images
publishDate	Dece
url	http://hdl.handle.net/10945/22858
work_keys_str_mv	AT demarsthomasv adaptivedimpointtargetdetectionandtrackinginfraredimages
_version_	1718492403215630336

Adaptive dim point target detection and tracking infrared images

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