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Emergency Management: Exploring Hard and Soft Data Fusion Modeling with Unmanned Aerial Systems and Non-governmental Human Intelligence Mediums

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

Data fusion methods have been traditionally inclusive of Department of Defense and intelligence applications. The extension of data fusion (DF) with emergency management (EM), also referred to as crisis management, processes for enhanced proactive decision-making has not been fully explored. Hard sensor use in emergency management (e.g. satellites) has evolved to include governmental Unmanned Aerial Systems (UAS) but may have potential to include non-governmental systems. Soft sensors in emergency management processes (people) include the flow of information from governmental and non-governmental sources. Data fusion emergency management extension is a method of integrating governmental and non-governmental hard and soft information sources at varying levels of information automation for enhanced managerial decision making and utilization of limited resources. This paper establishes a framework for the extension of data fusion to emergency management in consideration of identified EM themes, UAS integration, and behavioral limitations within an autonomous yet collaborative network.

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Acknowledgements

This paper is inspired by and dedicated to the memory of Dr. David L. Hall, father of Sonya McMullen and father-in-law of Mac McMullen. Dr. Hall was also a colleague of Peter Forster at the College of Information Sciences and Technology at The Pennsylvania State University. Dr. Hall was considered one of the “grey beards” in the multisensor data fusion community having aided in the development of the JDL fusion model, conducted research, presented seminars, written numerous papers, and co-authored and edited multiple texts. Dr. Hall died on December 26, 2015. The data fusion and information sciences communities have lost a great visionary. He will be missed.

Author information

Authors and Affiliations

  1. College of Aeronautics, Embry-Riddle Aeronautical University – Worldwide, Philadelphia, PA, USA

    Sonya A. H. McMullen

  2. College of Information Sciences and Technology, The Pennsylvania State University – World Campus, Philadelphia, PA, USA

    Mac J. McMullen

  3. College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA, USA

    Peter Forster

  4. College of Aeronautics, Embry-Riddle Aeronautical University – Worldwide, Portland, OR, USA

    David Ison

  5. College of Aeronautics, Embry-Riddle Aeronautical University – Worldwide, Hahira, GA, USA

    Patti J. Clark

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  1. Sonya A. H. McMullen
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  2. Mac J. McMullen
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  3. Peter Forster
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  4. David Ison
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Corresponding author

Correspondence to Sonya A. H. McMullen .

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Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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McMullen, S.A.H., McMullen, M.J., Forster, P., Ison, D., Clark, P.J. (2018). Emergency Management: Exploring Hard and Soft Data Fusion Modeling with Unmanned Aerial Systems and Non-governmental Human Intelligence Mediums. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_35

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_35

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