Multi-Scale Vector Tunnel Classification Algorithm for Hyperspectral Images

Demirci S., Erer I., Unaldi N.

Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, Maryland, United States Of America, 29 April - 02 May 2013, vol.8743 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 8743
  • Doi Number: 10.1117/12.2018025
  • City: Maryland
  • Country: United States Of America
  • Keywords: Hyperspectral Images, Supervised Classification, Vector Tunnel Algorithm, WAVELET
  • Istanbul Technical University Affiliated: Yes

Abstract

Hyperspectral image (HSI) classification consists of a variety of algorithms involving supervised or unsupervised. In supervised classification, some reference data are used. Training data are not used in unsupervised classification methods. The type of a classification algorithm depends on the nature of the input and reference data.