Skip to Main content Skip to Navigation
Conference papers

Efficient data fusion using wavelet transform: the case of SPOT satellite images

Abstract : A way of increasing the spatial resolution of SPOT multispectral images (XS) using the corresponding panchromatic image (P) is presented here. Existing methods for merging P and XS are analyzed, before presenting a new method which aims at simulating 10 m resolution multispectral images that contain the same spectral information at the XS images. This method, called ARSIS after its French name 'Amelioration de la Resolution Spatiale par Injection de Structures', is based upon multiresolution analysis and wavelet transform. Different versions have been implemented, which differ on the model that describes the similarity of the spatial variability on P and XS. ARSIS can also be applied to other sensors, featuring different spectral bands and spatial resolutions.
Complete list of metadata

https://hal-mines-paristech.archives-ouvertes.fr/hal-00466627
Contributor : Lucien Wald <>
Submitted on : Wednesday, July 28, 2010 - 10:29:17 AM
Last modification on : Thursday, September 24, 2020 - 5:22:04 PM
Long-term archiving on: : Friday, October 29, 2010 - 9:29:48 AM

File

20100728092234.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00466627, version 1

Citation

Thierry Ranchin, Lucien Wald, Marc Mangolini. Efficient data fusion using wavelet transform: the case of SPOT satellite images. Proceedings of the SPIE's 1993 Int. Symp. on Optics, Imaging and Instrumentation, Jul 1993, San Diego, California, USA, United States. pp.171-178. ⟨hal-00466627⟩

Share

Metrics

Record views

523

Files downloads

367