• 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. Fast segmentation of hyperspectral images by combining textural and spectral information
 
  • Details
  • Full
Options
2015
Conference Paper
Titel

Fast segmentation of hyperspectral images by combining textural and spectral information

Abstract
In this paper different approaches for dimensionality reduction of hyperspectral images are compared in order to apply a texture based segmentation algorithm which efficiently operates in low dimensions. Detection of Powdery Mildew infection is used as a real-world test case for the proposed approach. For this application, an adaptive Principal Component Analysis based projection preserves the most relevant spectral information within the combined process of spatial-spectral feature extraction.
Author(s)
Knauer, Uwe
Kilias, David
Seiffert, Udo
Hauptwerk
Bridging scales. Skalenübergreifende Nah- und Fernerkundungsmethoden
Konferenz
Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF Wissenschaftlich-Technische Jahrestagung) 2015
Thumbnail Image
Externer Link
Externer Link
Language
English
google-scholar
Fraunhofer-Institut für Fabrikbetrieb und -automatisierung IFF
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022