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Generic Prioritization Framework For Target Selection And Instrument Usage For Reconnaissance Mission Autonomy

Fink, Wolfgang (2006) Generic Prioritization Framework For Target Selection And Instrument Usage For Reconnaissance Mission Autonomy. In: 2006 International Joint Conference on Neural Networks. IEEE International Joint Conference on Neural Networks (IJCNN). IEEE , Piscataway, NJ, pp. 5367-5370. ISBN 978-0-7803-9490-2.

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A generic prioritization framework is introduced for addressing the problem of automated prioritization of target selection and instrument usage, applicable to Earth and Space reconnaissance missions. The framework is based on the assumptions that clustering of preliminary data for identified targets within an operational area has occurred and that the clustering quality can be expressed as an objective function. Target prioritization then means to rank targets according to their probability of changing the objective function value upon close reexamination. The formalism for calculating these probabilities and the probabilities for instruments aboard a science craft to contribute to this change of the objective function value is introduced.

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Additional Information:© 2006 IEEE. Date of Current Version: 30 October 2006. The work described in this publication was carried out at the Jet Propulsion Laboratory, California Institute of Technology under a contract with the National Aeronautics and Space Administration. The author thanks A. Davies, R. Castano, E. Mjolsness, and T. Estlin for their support.
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INSPEC Accession Number9723437
Series Name:IEEE International Joint Conference on Neural Networks (IJCNN)
Record Number:CaltechAUTHORS:20110215-084932334
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Official Citation:Fink, W.; , "Generic Prioritization Framework for Target Selection and Instrument Usage for Reconnaissance Mission Autonomy," Neural Networks, 2006. IJCNN '06. International Joint Conference on , vol., no., pp.5367-5370, 0-0 0 doi: 10.1109/IJCNN.2006.247316 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:22186
Deposited By: Benjamin Perez
Deposited On:15 Feb 2011 17:09
Last Modified:09 Nov 2021 16:03

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