Fusion of MultiSpectral and Panchromatic Images Based on Morphological Operators

Rocco Restaino (1) , Gemine Vivone (1) , Mauro Dalla Mura (2) , Jocelyn Chanussot (2)

1 UNISA - Università degli Studi di Salerno = University of Salerno
2 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

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 gradients operators and demonstrate the suitability of this algorithm through the comparison with state of the art approaches. Four datasets 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.

Domaines: Traitement du signal et de l'image [eess.SP]

Rocco Restaino, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot. Fusion of MultiSpectral and Panchromatic Images Based on Morphological Operators. IEEE Transactions on Image Processing, 2016, 25 (6), pp.2882-2895. ⟨10.1109/TIP.2016.2556944⟩. ⟨hal-01303222⟩