Edge Preservation in Ikonos Multispectral and Panchromatic Imagery Pan-sharpening
Résumé
In Ikonos imagery, both multispectral (MS) and panchromatic (PAN) images are provided with different spatial and spectral resolutions. Multispectral classification detects object classes only according to the spectral property of the pixel. Panchromatic image segmentation enables the extraction of detailed objects, like road networks, that are useful in map updating in Geographical Information Systems (GIS), environmental inspection, transportation and urban planning, etc. Therefore, the fusion of a PAN image with MS images is a key issue in applications that require both high spatial and high spectral resolutions. The fused image provides higher classification accuracy. To extract, for example, urban road networks in pan-sharpened images, edge information from the PAN image is used to eliminate the misclassified objects. If the PAN image is not available, then an edge map is extracted from the pan-sharpened images, and therefore the quality of this map depends on the fusion process of PAN and MS images. In a pan-sharpening process, before fusing, the MS images are resampled to the same pixel sizes as the PAN images and this upsampling impacts subsequent processing. In this work, we demonstrate that the interpolation method, used to resample the MS images, is very important in preserving the edges in the pan-sharpened images.
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