Hyperspectral Change Detection Based on Multi-Band Census Transform

Cesmeci D., KARACA A. C., ERTÜRK A., Gullu M. K., ERTÜRK S.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Turkey, 23 - 25 April 2014, pp.1910-1913 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2014.6830628
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.1910-1913
  • Keywords: Census transform, change detection, hyperspectral images
  • Yıldız Technical University Affiliated: No

Abstract

Change detection aims to detect the differences occurring between images of the same scene taken at different times. Hyperspectral images, due to their high spectral resolution, provide more reliable results for change detection applications with respect to other imaging systems. In this paper, Multi-band Census Transform (MCT) is proposed for change detection for hyperspectral images. Experimental results show that the proposed method improves change detection performance.