Code Record


[DOI: 10.21982/2q1x-5x14] Pansharpening Toolbox
Vivone, Gemine; Alparone, Luciano; Chanussot, Jocelyn; Dalla Mura, Mauro; Garzelli, Andrea; Restaino, Rocco
A MATLAB toolbox is made available to the pansharpening community. Pansharpening aims at fusing a multispectral and a panchromatic image, featuring the result of the processing with the spectral resolution of the former and the spatial resolution of the latter. This toolbox consists of several implementations of pansharpening approaches belonging to the state-of-the-art of the component substitution and the multiresolution analysis families. Moreover, the two main protocols for the quality assessment of pansharpening results, i.e., based on the full- and reduced-resolution validations, have been implemented. This software is freely available and can be used for reproducible research.

Code Link:
Code Size: 80064 bytes
Code MD5 Checksum: 8757c7836ea47924e9a4a9113f450be5

Appears in: G. Vivone, L. Alparone, J. Chanussot, M. Dalla Mura, A. Garzelli, G. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms”, IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2565-2586, May 2015

Code Languages: Matlab

Sensor Categories: Optical Imager

Instrument Processing and Calibration Categories: Optical Imager

Keywords: benchmarking, component substitution, multiresolution analysis, pansharpening, quality assessment, image fusion, very high-resolution optical images, remote sensing