Florence Laporterie-Déjean

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Very high spatial resolution images are now available (about 1m), and processes such as classification or segmentation are less efficient on this kind of images. This paper proposes a method for pre-processing images, which smoothes the heterogeneous areas but perserves the borders of main objects. This process is done by 1. a multi-resolution nonlinear(More)
This paper presents the results of a study led by the CNES (French Space Agency) to compare several panchromatic/multispectral fusion methods. Five fusion methods have been selected and evaluated quantitatively and qualitatively. The quantitative results are obtained through analysis of variance; while fusion is evaluated qualitatively by visual experts.(More)
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