Computer Science – Performance
Scientific paper
Jun 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994spie.2232..217g&link_type=abstract
Proc. SPIE Vol. 2232, p. 217-227, Signal Processing, Sensor Fusion, and Target Recognition III, Ivan Kadar; Vibeke Libby; Eds.
Computer Science
Performance
Scientific paper
This paper discusses the postflight ground processing algorithms for the Midcourse Space Experiment (MSX) Spatial Infrared Imaging Telescope (SPIRIT) III radiometer data. The algorithm suite consists of image processing and object tracking that produces object histories for postflight signature studies. The image processing is centered around least squares estimators for single and multiple objects for classification and characterization of object parameters. Object-tracking algorithms are implemented to support association of objects across multiple scans by utilizing an adaptive nearest neighbor association technique. A discussion of the design requirements and performance of the implemented algorithms will be presented.
Giles Kevin H.
Moore Wally W.
Prestwood William T.
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