A new pansharpening algorithm based on total variation

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 1, 2014, Pages 318-322

  Palsson, Frosti ^a   Sveinsson, Johannes R ^a   Ulfarsson, Magnus O ^a  

^a UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Image fusion; pansharpening; remote sensing; total variation

Indexed keywords

HIGH SPATIAL RESOLUTION MULTISPECTRAL IMAGES; IMAGE FORMATION MODELS; MULTISPECTRAL IMAGES; MULTISPECTRAL SATELLITE IMAGERY; PAN-SHARPENING; PANCHROMATIC (PAN) IMAGE; PANSHARPENED IMAGES; TOTAL VARIATION;

IMAGE FUSION; REMOTE SENSING;

SATELLITE IMAGERY;

EID: 84888295476     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2257669     Document Type: Article

References (13)

1. F. Palsson, J. R. Sveinsson, J. A. Benediktsson, and H. Aanaes, "Classification of pansharpened urban satellite images," IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens., vol. 5, no. 1, pp. 281-297, Feb. 2012.
2. S. Li and B. Yang, "A new pan-sharpening method using a compressed sensing technique," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 2, pp. 738-746, Feb. 2011.
3. I. W. Selesnick and M. A. T. Figueiredo, "Signal restoration with overcomplete wavelet transforms: Comparison of analysis and synthesis priors," in Proc. SPIE, vol. 7446. (Wavelets XIII), Aug. 2009, p. 15.
4. J. Bioucas-Dias, M. Figueiredo, and J. Oliveira, "Total variation-based image deconvolution: A majorization-minimization approach," in Proc. IEEE ICASSP, vol. 2. May 2006, p. II.
5. L. Wald, Data Fusion: Definitions and Architectures: Fusion of Images of Different Spatial Resolutions. Les Presses de l' ́ Ecole des Mines, 2002.
6. R. H. Yuhas, A. F. Goetz, and J. W. Boardman, "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm," in Proc. Summaries 3rd Annu. JPL Airborne Geosci. Workshop, vol. 1. 1992, pp. 147-149.
7. L. Wald, "Quality of high resolution synthesized images: Is there a simple criterion?" in Proc. 3rd Conf. Fusion Earth Data: Merging Point Measurements, Raster Maps Remotely Sensed Images, Nice, France: SEE/URISCA, 2000.
8. L. Alparone, S. Baronti, A. Garzelli, and F. Nencini, "A global quality measurement of pan-sharpened multispectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 1, no. 4, pp. 313-317, Oct. 2004.
9. L. Alparone, B. Aiazzi, S. Baronti, A. Garzelli, F. Nencini, and M. Selva, "Multispectral and panchromatic data fusion assessment without reference," Photogramm. Eng. Remote Sens., vol. 74, no. 2, pp. 193-200, Feb 2008. (Pubitemid 351224050)
10. Z. Wang and A. Bovik, "A universal image quality index," IEEE Signal Process. Lett., vol. 9, no. 3, pp. 81-84, Mar. 2002. (Pubitemid 34554870)
11. M. Khan, L. Alparone, and J. Chanussot, "Pansharpening quality assessment using the modulation transfer functions of instruments," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3880-3891, Nov. 2009.
12. V. K. Shettigara, "A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set," Photogramm Eng. Remote Sens., vol. 58, no. 5, pp. 561-567, 1992.
13. C. Ballester, V. Caselles, L. Igual, and J. Verdera, "A variational model for P+XS image fusion." Int. J. Comput. Vision, pp. 43-58, 2006. (Pubitemid 43787400)