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Proceedings Paper

New merging method of multispectral and panchromatic SPOT images for vegetation mapping
Author(s): Bruno Garguet-Duport; Jacky Girel; Jean-Marc Chassery; Guy Pautou
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Paper Abstract

The French satellite SPOT is carrying two high resolution sensors. The first supplies 10-m panchromatic (0.51-0.73) data; the second supplies multispectral 20-m data (XS1 in the blue band 0.50 - 0.59, XS2 in the green band 0.61 - 0.69, XS3 in the near infra-red band 0.79 - 0.90). The multispectral and panchromatic merging processes are becoming current procedures for studying land covers and particularly for vegetation mapping which needs a good spatial resolution and a good spectral resolution respectively. The usually applied merging methods are more or less altering radiometric values of the original XS data. Original information is modified and, consequently, photointerpretation procedures are becoming awkward or really impossible so a new merging method has been performed. Thanks to the combined panchromatic image, this method is simulating 10-m images while conserving spectral properties of original XS 20-m images. This method uses two tools coming from the signal processing field and based on solid mathematical procedures: the multiresolution analysis and the wavelet transform. The results issued from this merging method are really promising. Analyses and thematic processings (i. e. production of thematic colour composite images) carried out from that high resolution data, have exhibited a significant improvement of imagery added to a great potential concerning vegetation mapping of the floodplains.

Paper Details

Date Published: 30 December 1994
PDF: 10 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196763
Show Author Affiliations
Bruno Garguet-Duport, Lab. Hydrosystemes Alpins and TIMC/IMAG (France)
Jacky Girel, Lab. Hydrosystemes Alpins and CNRS/URA 1451 (France)
Jean-Marc Chassery, TIMC/IMAG (France)
Guy Pautou, Lab. Hydrosystemes Alpins (France)

Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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