文件列表:

LICENSE.txt (35147, 2015-10-13)
data (0, 2015-10-13)
data\ikonos_spec_resp.mat (5749, 2015-10-13)
data\original_rosis.mat (31432397, 2015-10-13)
data\paris_data_hs_ms.mat (2899131, 2015-10-13)
data\paris_data_hs_pan.mat (2362945, 2015-10-13)
data\rosis_small_Datacube.mat (12341842, 2015-10-13)
demos (0, 2015-10-13)
demos\demo_paris_hs_ms.m (9048, 2015-10-13)
demos\demo_paris_hs_pan.m (6156, 2015-10-13)
demos\demo_pavia_hs_ms.m (9187, 2015-10-13)
demos\demo_pavia_hs_pan.m (9108, 2015-10-13)
src (0, 2015-10-13)
src\data_fusion.m (7904, 2015-10-13)
src\sen_resp_est.m (12277, 2015-10-13)
src\utils (0, 2015-10-13)
src\utils\ConvC.m (298, 2015-10-13)
src\utils\VCA.m (7791, 2015-10-13)
src\utils\downsamp_HS.m (334, 2015-10-13)
src\utils\im2mat.m (117, 2015-10-13)
src\utils\img_qi.m (4063, 2015-10-13)
src\utils\mat2im.m (128, 2015-10-13)
src\utils\quality_assessment.m (2780, 2015-10-13)
src\utils\upsamp_HS.m (424, 2015-10-13)
src\utils\vector_soft_col_iso.m (220, 2015-10-13)

## HySure ### What is it? HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones. This set of MATLAB files implements the methods described in [1] M. Simes, J. Bioucas-Dias, L. Almeida, and J. Chanussot, “Hyperspectral image superresolution: An edge-preserving convex formulation,” IEEE Int. Conf. Image Processing, Paris, 2014. [2] M. Simes, J. Bioucas-Dias, L. Almeida, and J. Chanussot, “A convex formulation for hyperspectral image superresolution via subspace-based regularization,” IEEE Trans. Geosci. Remote Sens., vol. 53, no. 6, pp. 3373-88, June 2015. See the file LICENSE for copying conditions. Kindly report any suggestions or corrections to miguel.simoes@lx.it.pt ### Release date February 18, 2015 ### Where can I find it? https://github.com/alfaiate/HySure ### How to use it? There are three folders that contain: 'demos': MATLAB script files with some of the examples detailed in [2]; 'data': the two different datasets: Pavia and Paris (see [2]); 'src': the source code. ### System-specific notes This version of HySure was tested using MATLAB R2014b on a Windows 7 machine. ### Licensing Copyright (C) 2015 Miguel Simes, José Bioucas-Dias, Luis B. Almeida and Jocelyn Chanussot This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 of the License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . ### Contact information Miguel Simes: miguel.simoes@lx.it.pt José Bioucas-Dias: bioucas@lx.it.pt Luis B. Almeida: luis.almeida@lx.it.pt Jocelyn Chanussot: jocelyn.chanussot@gipsa-lab.grenoble-inp.fr Miguel Simes is with Instituto de Telecomunicaes, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal and GIPSA-Lab, Université de Grenoble, France. José Bioucas-Dias and Luis B. Almeida are with Instituto de Telecomunicaes, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal. Jocelyn Chanussot is with GIPSA-Lab, Grenoble Institute of Technology, France and with the Faculty of Electrical and Computer Engineering, University of Iceland. This work was partially supported by the Fundao para a Ciência e Tecnologia, Portuguese Ministry of Science and Higher Education, projects PEst-OE/EEI/0008/2013, PTDC/EEI-PRO/1470/2012, and grant SFRH/BD/87693/2012.

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