A Pansharpening Algorithm Based on Morphological Filters

Rocco Restaino, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot

Abstract: The fusion of multispectral and panchromatic images acquired by sensors mounted on satellite platforms represents a successful application of data fusion called Pansharpening. In this work we propose an algorithm based on morphological pyramid decomposition. This approach implements a Multi Resolution scheme based on morphological gradients for extracting spatial details from the panchromatic image, which are subsequently injected in the multispectral one. Several state-of-the-art methods are considered for comparison. Quantitative and qualitative results confirm the capability of the proposed technique to obtain pansharpened images that outperform state-of-the-art approaches.