Satellite image pansharpening by chrominance propagation combined with Kernal interpolation

  • Authors:

  • Marcin Iwanowshi;Artur Huk

  • Affiliations:

  • Institute of Control and Industrial Electronics, Warsaw University of Tecnology, Warszawa, Poland;Institute of Control and Industrial Electronics, Warsaw University of Tecnology, Warszawa, Poland

  • Venue:
  • Machine Graphics & Vision International Journal
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a method for propagation-based spatial interpolation of missing color information in satellite images. Most of the land-observation satellites produce two types of imagery for every scene - multispectral and panchromatic. The first kind is characterized by lower spatial resolution but higher spectral one, while the second is a graylevel image at higher resolution. In order to get full color visualization of a scene, the high-resolution panchromatic image must be combined with the low-resolution color information taken from multispectral bands. This process is called pansharpening. In this paper, a new method for pansharpening is proposed which combines chrominance propagation with kernel interpolation. Thanks to the propagation step, the method properly reconstructs color information and does not blur the edges on color channels.