Year: 2015
Type: article
Abstract: Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literatures for pansharpening using multispectral data. With the increasing availability of hyperspectral systems, these methods are now being adapted to hyperspectral images. In this work, we compare new pansharpening techniques designed for hyperspectral data with some of the state-of-the-art methods for multispectral pansharpening, which have been adapted for hyperspectral data. Eleven methods from different classes (component substitution, multiresolution analysis, hybrid, Bayesian and matrix factorization) are analyzed. These methods are applied to three datasets and their effectiveness and robustness are evaluated with widely used performance indicators. In addition, all the pansharpening techniques considered in this paper have been implemented in a MATLAB toolbox that is made available to the community.
Institutions: Office National d'Études et de Recherches Aérospatiales, GIPSA-Lab, University of Lisbon, Instituto de Telecomunicações, Instituto Superior Técnico, Département Optique et Techniques Associées, Institut polytechnique de Grenoble, Institut de Recherche en Informatique de Toulouse, École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des Télécommunications, TéSA, Université de Toulouse, Ghent University, Centre National de la Recherche Scientifique, NATO Centre for Maritime Research and Experimentation, North Atlantic Treaty Organization, The University of Tokyo
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: Data fusion for image analysis in remote sensing, G4414853111, G4586944072, G4866930200, Hyperspectral data analysis with nonlinear unmixing algorithms, Université Fédérale de Toulouse, G5261993341, G5607072047, G6702880738, G6942917955, Hyperspectral imagery for Environmental urban Planning, Centre International de Mathématiques et d'Informatique (de Toulouse), G7846038998, Multidimensional high-resolution remote sensing based on spectral data fusion, G8938184468
OpenAlex ID: W2165509083