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Proceedings Paper

An information based approach to improving overhead imagery collection
Author(s): Matthew J. Sourwine; Kenneth J. Hintz
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Paper Abstract

Recent growth in commercial imaging satellite development has resulted in a complex and diverse set of systems. To simplify this environment for both customer and vendor, an information based sensor management model was built to integrate tasking and scheduling systems. By establishing a relationship between image quality and information, tasking by NIIRS can be utilized to measure the customer's required information content. Focused on a reduction in uncertainty about a target of interest, the sensor manager finds the best sensors to complete the task given the active suite of imaging sensors' functions. This is done through determination of which satellite will meet customer information and timeliness requirements with low likelihood of interference at the highest rate of return.

Paper Details

Date Published: 5 May 2011
PDF: 9 pages
Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805022 (5 May 2011); doi: 10.1117/12.898581
Show Author Affiliations
Matthew J. Sourwine, George Mason Univ. (United States)
Kenneth J. Hintz, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 8050:
Signal Processing, Sensor Fusion, and Target Recognition XX
Ivan Kadar, Editor(s)

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