• DocumentCode
    282375
  • Title

    Change detection in SAR imagery

  • Author

    White, R.G.

  • Author_Institution
    R. Signals & Radar Establ., Malvern, UK
  • fYear
    1989
  • fDate
    32841
  • Firstpage
    42491
  • Lastpage
    42493
  • Abstract
    Two separate SAR image change detection schemes are described. In the absence of ground truth one must judge these schemes against the performance that may be achieved by eye. On this basis, both schemes are found to work well. The neutral network approach appears to perform slightly better than the model-based scheme in terms of both time and detection rates. Given the fact that the author has the option of training the networks on a more realistic object set than that currently used it would appear that the network approach is to be preferred. It is estimated that both schemes will run in real-time on a new transputer-based vector processor
  • Keywords
    computerised picture processing; identification; neural nets; radar theory; signal detection; SAR; image change detection; model-based scheme; neutral network; real-time; synthetic aperture radar; training; transputer-based vector processor;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Synthetic Aperture Radar, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    199085