• DocumentCode
    711304
  • Title

    Remote sensing signatures database - challenges and opportunities

  • Author

    Tzeng, Nigel H. ; Ramachandran, Vignesh R. ; Best, Robert G. ; Mitchell, Herbert J. ; Jacobs, Samantha K. ; Rodriguez, Benjamin M. ; McCauley, Patrick A.

  • Author_Institution
    Johns Hopkins Appl. Phys. Lab., Laurel, MD, USA
  • fYear
    2015
  • fDate
    7-14 March 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Growing use of remote sensing in scientific and forensic analysis requires collecting large quantities of signature data from a variety of sensors requiring various techniques as well as careful consideration of environmental conditions. The quantity of collected signature data continues to grow rapidly and the challenge of storing, classifying, searching and exchanging of signatures has significantly increased. For example, the Joint Improvised Explosive Device Defeat Organization (JIEDDO) Integrated Signatures Program (ISP) has collected approximately one million IR, Raman, Mass Spec, RF and other signatures that must be effectively managed. This paper discusses approaches for standardizing metadata across different phenomenology, data interchange formats, unique identification of signatures, signature quality metrics, facilitating third party analysis tools and large signature library management and distribution. Each of these items must be considered when developing a standard for collected signatures.
  • Keywords
    database management systems; digital forensics; remote sensing; ISP; JIEDDO; data interchange formats; environmental conditions; forensic analysis; integrated signatures program; joint improvised explosive device defeat organization; remote sensing signatures database; scientific analysis; signature data; signature quality metrics; signature unique identification; standardizing metadata; Chemicals; Databases; Sensors; Software; Spirals; Standards; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2015 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    978-1-4799-5379-0
  • Type

    conf

  • DOI
    10.1109/AERO.2015.7119100
  • Filename
    7119100