Extended Random Jumps for Classification of Hyperspectral Data

Mouselli E., KASAPOĞLU N. G.

26th IEEE Signal Processing and Communications Applications Conference (SIU), İzmir, Turkey, 2 - 05 May 2018, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2018.8404316
  • City: İzmir
  • Country: Turkey
  • Istanbul Kültür University Affiliated: No

Abstract

Extended random walker (ERW) has shown a good performance in hyperspectral data classification. In this paper some adjustment on spatial relation is applied in ERW algorithm. Segments obtained from Watershed segmentation are used forming the new spatial space to improve the classification accuracy.