• DocumentCode
    497730
  • Title

    Lessons learned in the creation of a data set for hard/soft information fusion

  • Author

    Pravia, Marco A. ; Babko-Malaya, Olga ; Schneider, Michael K. ; White, James V. ; Chong, Chee-Yee ; Willsky, Alan S.

  • Author_Institution
    Adv. Inf. Technol., BAE Syst., Burlington, MA, USA
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    2114
  • Lastpage
    2121
  • Abstract
    Recent experiences in urban operations highlight the need for automated methods to help execute the data collection and association functions in the intelligence process. Technology development in this area has been challenged by the heterogeneity of data to be processed and by the diversity of potential applications. Here, we report lessons learned during the creation of a hard/soft data set. The data set was built using ldquohardrdquo physical sensor reports and ldquosoftrdquo documents captured during training exercises simulating urban conditions. We discuss data collection issues, and we examine the information elements that can be exploited from the data. A key product in the data set is the identification of threads of insurgent activities that were observed by both hard and soft sensing modalities. We discuss the process by which the threads were identified, including an annotation procedure that structures the text information to enable association with the hard information elements.
  • Keywords
    DP management; military computing; sensor fusion; system documentation; data collection; data heterogeneity; data set creation; hard information fusion; physical sensor report; soft information fusion; urban operation; Acoustic sensors; Fusion power generation; Humans; Information technology; Intelligent sensors; Mathematical model; Protection; Sensor fusion; Vehicle detection; Yarn; HUMINT; Human-based information; information fusion; low-level fusion; physics-based information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203824