Integration of panchromatic and SAR features into multispectral SPOT images using the 'à trous' wavelet decomposition

  • Authors:

  • Y. Chibani

  • Affiliations:

  • Signal Processing Laboratory, Department of Telecommunications, University of Science and Technology Houari Boumédiene, Algiers 16111, Algeria

  • Venue:
  • International Journal of Remote Sensing
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

A method is described for integrating panchromatic (P) and synthetic aperture radar (SAR) features into multispectral (XS) images using conjointly the modified Brovey transform (MBT) and the 'à trous' wavelet decomposition (ATDW). The MBT is based on the local modulation of each multispectral image by the ratio of the new and initial intensity components to produce new multispectral images directly. The ATWD allows extraction of features from P and SAR images, which are combined through a feature selection rule to integrate into the initial intensity component. For evaluating the effect of each feature selection on new XS images, experimental results are conducted on SPOT (XS, P) and Radarsat (SAR) images using both visual inspection and many refined statistical measures.