• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Towards the CNN-based detection of disturbing objects in multi-channel GPR data
 
  • Details
  • Full
Options
2022
Conference Paper
Titel

Towards the CNN-based detection of disturbing objects in multi-channel GPR data

Abstract
A Ground Penetrating Radar (GPR) is an active sensor system, which enables the detection of buried objects interacting with the radar signal. Detectable objects can be of man-made (e.g. pipelines) or natural (e.g. stones) origin. This capability allows for a number of different applications such as archaeological or infrastructural investigations or mine detection (Jol, 2009)
Author(s)
Karle, Nathalie
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Boldt, Markus
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Schmitz, Sylvia
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Thiele, Antje
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Hauptwerk
19th International Conference on Ground Penetrating Radar, GPR 2022
Konferenz
International Conference on Ground Penetrating Radar 2022
Thumbnail Image
DOI
10.1190/gpr2022-102.1
Language
English
google-scholar
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022