An Optimal Use of SCE-UA Method Cooperated With Superpixel Segmentation for Pansharpening

• Published in: IEEE geoscience and remote sensing letters Vol. 18; no. 9; pp. 1620 - 1624
• Main Authors: Hallabia, Hind, Hamam, Habib, Hamida, Ahmed Ben
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Clustering; Clustering algorithms; Coefficients; Data acquisition; Image segmentation; Injection; Local injection gains; Optimization; pansharpening; Remote sensing; Satellites; shuffled complex evolution developed at University of Arizona (SCE-UA) method; superpixel segmentation; Task analysis; WorldView-3/-4 images

Pansharpening is achieved by inferring spatial details derived from a PANchromatic (PAN) image into its corresponding expanded multispectral (MS) bands. In this letter, we propose to apply an adaptive superpixel-based injection scheme that modulates the PAN details through an optimization procedure....