Change Detection in Aerial Images

  • Authors:
  • Affiliations:
  • Venue:
  • CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper deals with how to characterizetexture and how to get a good description ofimages with a minimal number of parameters.This procedure is more objective than textualdata. Texture characterization has been usedin a matching system to detect changes incouples of aerial images taken at two differenttimes using different order of statistics todescribe images. The results are quite encouraging.