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
| Identifer | oai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/22858 |
| Date | 12 1900 |
| Creators | DeMars, Thomas V. |
| Contributors | Therrien, Charles W., Tummala, Murali, Naval Postgraduate School, Electrical and Computer Engineering |
| Source Sets | Naval Postgraduate School |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
| Format | 141 p., application/pdf |
| Rights | 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. |
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