Code Record

2019-06-13

[DOI: 10.21982/2q1x-5x14 _target: ] 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 Site: codelibrary/20ffed697206eca43f4ad40d53784255.rar

Appears in: [1] 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: Other - Matlab

To compile code: 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