An information based approach to improving overhead imagery collection

Matthew J. Sourwine; Kenneth J. Hintz

doi:10.1117/12.898581

5 May 2011 An information based approach to improving overhead imagery collection

Matthew J. Sourwine, Kenneth J. Hintz

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 805022 (2011) https://doi.org/10.1117/12.898581
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Matthew J. Sourwine and Kenneth J. Hintz "An information based approach to improving overhead imagery collection", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805022 (5 May 2011); https://doi.org/10.1117/12.898581

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