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Proceedings Paper

Challenges In Processing Data From Mosaic Sensors
Author(s): Riley Neel
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Paper Abstract

Mosaic sensors have been advanced as superior sensors for observing moving targets in cluttered background, because they are potentially more sensitive than scanning sensors. Processing data from mosaic sensors, however, differs greatly from processing data from scanning sensors. Mosaic sensors produce much more data and the staring array introduces problems in rejecting background and assembling tracks. This paper surveys the mosaic data processing sequence showing how the nature of mosaic sensors introduces processing challenges in most of its stages. Also identified are design variables, such as detector size or integration time, that affect how well these challenges can be met. As an example of a design variable's influence on processing performance, the effect of blur circle size on the performance of a specific tracking and trajectory estimation algorithm is presented.

Paper Details

Date Published: 30 June 1982
PDF: 7 pages
Proc. SPIE 0311, Mosaic Focal Plane Methodologies II, (30 June 1982); doi: 10.1117/12.932815
Show Author Affiliations
Riley Neel, IBM (United States)


Published in SPIE Proceedings Vol. 0311:
Mosaic Focal Plane Methodologies II
William S. Chan; John T. Hall, Editor(s)

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