title: Fusion of Multispectral and Panchromatic Images Based on Morphological Operators.
abstract: Nonlinear decomposition schemes constitute an alternative to classical approaches for facing the problem of data fusion. In this paper, we discuss the application of this methodology to a popular remote sensing application called pansharpening, which consists in the fusion of a low resolution multispectral image and a high-resolution panchromatic image. We design a complete pansharpening scheme based on the use of morphological half gradient operators and demonstrate the suitability of this algorithm through the comparison with the state-of-the-art approaches. Four data sets acquired by the Pleiades, Worldview-2, Ikonos, and Geoeye-1 satellites are employed for the performance assessment, testifying the effectiveness of the proposed approach in producing top-class images with a setting independent of the specific sensor.
authors.forename: Rocco
authors.initials: R
authors.lastname: Restaino
authors.forename: Gemine
authors.initials: G
authors.lastname: Vivone
authors.forename: Mauro
authors.initials: M
authors.lastname: Dalla Mura
authors.forename: Jocelyn
authors.initials: J
authors.lastname: Chanussot