Adaptive dim point target detection and tracking infrared images
DeMars, Thomas V.
Therrien, Charles W.
MetadataShow full item record
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.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Borovies, Drew A. (Monterey, California. Naval Postgraduate School, 2007-03);One of the key abilities of agents in military simulations is to react to both detections of and counter-detections by other agents in the environment. While methods have been developed to model these detections and ...
Dubois, Laurence M. (1986-06);This thesis concerns the measurement of times to detect multiple targets. It compares two common definitions of times to detection--interdetection time, and search time to detection--to a relatively new definition called ...
Elazar, Moshe. (Monterey, California. Naval Postgraduate School, 1995-03);Detection of small targets in the presence of noise and sea clutter interference presents a formidable task in a radar system design. Conventional radar detection schemes, such as spectral discrimination and noncoherent ...