A compressed-sensing-based pan-sharpening method for spectral distortion reduction

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 4, 2016, Pages 2194-2206

  Ghahremani, Morteza ^a   Ghassemian, Hassan ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Compressed sensing (CS); Image fusion; Multispectral data; Pan sharpening; Panchromatic data; Sparse representation

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; SATELLITE IMAGERY; SIGNAL RECONSTRUCTION;

HIGH SPATIAL RESOLUTION; ITERATIVE ALGORITHM; MULTISPECTRAL IMAGES; PANCHROMATIC IMAGES; PANCHROMATIC SATELLITES; SPARSITY REGULARIZATIONS; SPECTRAL CHARACTERISTICS; SPECTRAL DISTORTIONS;

COMPRESSED SENSING;

ALGORITHM; EXPERIMENTAL STUDY; IKONOS; IMAGE ANALYSIS; MEASUREMENT METHOD; QUICKBIRD; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; WORLDVIEW;

EID: 84949908191     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2497309     Document Type: Article

References (52)

1. M. Ghahremani and H. Ghassemian, "Remote sensing image fusion using ripplet transform and compressed sensing," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 3, pp. 502-506, Mar. 2015.
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. H. Ghassemian, "A retina based multi-resolution image fusion," in Proc. IGARSS, Sydney, NSW, Australia, 2001, pp. 709-711.
4. C. A. Laben and B. V. Brower, "Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening," U.S. Patent 6 011 875, Jan. 4, 2000.
5. T. M. Tu, S. C. Su, H. C. Shyu, and P. S. Huang, "A new look at IHS like image fusion methods," Inf. Fusion, vol. 2, no. 3, pp. 177-186, Sep. 2001.
6. T. M. Tu, P. S. Huang, C. L. Hung, and C. P. Chang, "A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery," IEEE Geosci. Remote Sens. Lett., vol. 1, no. 4, pp. 309-312, Oct. 2004.
7. S. Rahmani, M. Strait, D. Merkurjev, M. Moeller, and T. Wittman, "An adaptive IHS pan-sharpening method," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 746-750, Oct. 2010.
8. P. S. Chavez, S. C. Sides, and J. A. Anderson, "Comparison of three different methods to merge multiresolution and multispectral data Landsat TM and SPOT panchromatic," Photogramm. Eng. Remote Sens., vol. 57, no. 3, pp. 295-303, Mar. 1991.
9. H. Ghassemian, "Multi-sensor image fusion using multirate filter banks," in Proc. IEEE Int. Conf. Image Process., Thessaloniki, Greece, 2001, pp. 846-849.
10. X. Zhu and R. Bamler, "A sparse image fusion algorithm with application to pan-sharpening," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 5, pp. 2827-2836, May 2013.
11. V. P. Shah, N. H. Younan, and R. L. King, "An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1323-1335, May 2008.
12. J. Zhou, D. L. Civco, and J. A. Silander, "A wavelet transform method to merge Landsat TM and SPOT panchromatic data," Int. J. Remote Sens., vol. 19, no. 4, pp. 743-757, Mar. 1998.
13. J. Nunez et al., "Multiresolution-based image fusion with additive wavelet decomposition," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1204-1211, May 1999.
14. B. Aiazzi, L. Alparone, S. Baronti, and A. Garzelli, "Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2300-2312, Oct. 2002.
15. M. Choi, R. Y. Kim, M. R. Nam, and H. O. Kim, "Fusion of multispectral and panchromatic satellite images using the curvelet transform," IEEE Geosci. Remote Sens. Lett., vol. 2, no. 2, pp. 136-140, Apr. 2005.
16. M. Ghahremani and H. Ghassemian, "Remote sensing image fusion based on curvelets and ICA," Int. J. Remote Sens., vol. 36, no. 16, pp. 4131-4143, Aug. 2015.
17. M. C. El-Mezouar, K. Kpalma, N. Taleb, and J. Ronsin, "A pan-sharpening based on the non-subsampled contourlet transform: Application to WorldView-2 imagery," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 5, pp. 1806-1815, May 2014.
18. M. V. Joshi, L. Bruzzone, and S. Chaudhuri, "A model-based approach to multiresolution fusion remotely sensed images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 9, pp. 2549-2562, Sep. 2006.
19. B. Zhou, S. Peng, B. Wang, Z. Hao, and S. Chen, "An optimized approach for pansharpening very high resolution multispectral images," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 4, pp. 735-739, Jul. 2012.
20. L. Zhang, H. Shen, W. Gong, and H. Zhang, "Adjustable model-based fusion method for multispectral and panchromatic images," IEEE Trans. Syst., Man, Cybern., Syst., vol. 42, no. 6, pp. 1693-1704, Dec. 2012.
21. S. Li, H. Yin, and L. Fang, "Remote sensing image fusion via sparse representations over learned dictionaries," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 9, pp. 4779-4789, Sep. 2013.
22. E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006.
23. D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
24. J. Cheng, H. Zhang, H. Shen, and L. Zhang, "A practical compressed sensing-based pan-sharpening method," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 4, pp. 629-633, Jul. 2012.
25. M. Cheng, C. Wang, and J. Li, "Sparse representation based pansharpen-ing using trained dictionary," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 1, pp. 293-297, Jan. 2014.
26. W. Wang, L. Jiao, and S. Yang, "Fusion of multispectral and panchromatic images via sparse representation and local autoregressive model," Inf. Fusion, vol. 20, pp. 73-87, Nov. 2014.
27. C. Jiang, H. Zhang, H. Shen, and L. Zhang, "Two-step sparse coding for the pan-sharpening of remote sensing images," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 5, pp. 1792-1805, May 2014.
28. M. Guo, H. Zhang, J. Li, L. Zhang, and H. Shen, "An online coupled dictionary learning approach for remote sensing image fusion," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 4, pp. 1284-1294, Apr. 2014.
29. V. Harikumar, P. P. Gajjar, M. V. Joshi, and M. S. Raval, "Multiresolution image fusion: Use of compressive sensing and graph cuts," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 5, pp. 1771-1780, May 2014.
30. C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, "Synthesis of mul-tispectral images to high spatial resolution: A critical review of fusion methods based on remote sensing physics," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1301-1312, May 2008.
31. B. Huang, H. Song, H. Cui, J. Peng, and Z. Xu, "Spatial and spectral image fusion using sparse matrix factorization," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 3, pp. 1693-1704, Mar. 2014.
32. M. R. Vicinanza, R. Restaino, G. Vivone, M. D. Mura, and J. Chanussot, "Pan-sharpening method based on the sparse representation of injected details," IEEE Geosci. Remote Sens. Lett., vol. 12, no. 1, pp. 180-184, Jan. 2015.
33. T. Akgun, Y. Altunbasak, and R. M. Mersereau, "Super-resolution reconstruction of hyperspectral images," IEEE Trans. Image Process., vol. 14, no. 11, pp. 1860-1875, Nov. 2005.
34. A. S. Charles and C. J. Rozell, "Spectral superresolution of hyperspectral imagery using reweighted l1 spatial filtering," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 3, pp. 602-606, Mar. 2014.
35. Q. Wei, J. Bioucas-Dias, N. Dobigeon, and J.-Y. Tourneret, "Hyper-spectral and multispectral image fusion based on a sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 7, pp. 3658-3668, Jul. 2015.
36. Y. Zhao, J. Yang, and J. C.-W. Chan, "Hyperspectral imagery super-resolution by spatial-spectral joint nonlocal similarity," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp. 963-978, Jun. 2014.
37. Y. Zhao, J. Yang, and Q. Zhang, "Hyperspectral imagery super-resolution by sparse representation and spectral regularization," EURASIP J. Adv. Signal Process., vol. 2011, no. 1, Dec. 2011, Art. ID 87.
38. T. Wan, N. Canagarajah, and A. Achim, "Compressive image fusion," in Proc. IEEE Int. Conf. Image Process., 2008, pp. 1308-1311.
39. A. Divekar and O. Ersoy, "Image fusion by compressive sensing," in Proc. Int. Conf. Geoinformatics, 2009, pp. 1-6.
40. X. Zhou, W. Wang, and R. Liu, "Compressive sensing image fusion algorithm based on directionlets," EURASIP J. Wireless Commun. Netw., vol. 2014, no. 1, pp. 19-1-19-6, 2014.
41. R. G. Baraniuk, E. Candès, M. Elad, and Y. Ma, "Applications of sparse representation and compressive sensing," Proc. IEEE, vol. 98, no. 6, pp. 906-909, Jun. 2010.
42. M. Elad, Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing. New York, NY, USA: Springer-Verlag, 2010.
43. A. Bruckstein, D. L. Donoho, and M. Elad, "From sparse solutions of systems of equations to sparse modeling of signals and images," SIAM Rev., vol. 51, no. 1, pp. 34-81, Feb. 2009.
44. L. Wald, T. Ranchin, and M. Mangolini, "Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images," Photogramm. Eng. Remote Sens., vol. 63, no. 6, pp. 691-699, Jun. 1997.
45. B. Aiazzi, S. Baronti, F. Lotti, and M. Selva, "A comparison between global and context-adaptive pansharpening of multispectral images," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 302-306, Apr. 2009.
46. S. R. Becker, "Practical compressed sensing: Modern data acquisition and signal processing," Ph.D. dissertation, Div. Eng. Appl. Sci., Calif. Inst. Technol., Pasadena, CA, USA, 2011.
47. J.-L. Starck, F. Murtagh, and J. M. Fadili, "The ridgelet and curvelet transforms," in Sparse Image and Signal Processing: Wavelets, Curvelets, Morphological Diversity. New York, NY, USA: Cambridge Univ. Press, 2010, pp. 89-118.
48. T. Ranchin and L. Wald, "Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation," Photogramm. Eng. Remote Sens., vol. 66, no. 1, pp. 49-61, 2000.
49. R. H. Yuhas, A. F. H. Goetz, and J. W. Boardman, "Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm," in Proc. Summar. 4th JPL Airborne Earth Sci. Workshop, 1992, pp. 147-149.
50. 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.
51. L. Alparone et al., "Multispectral and panchromatic data fusion assessment without reference," Photogramm. Eng. Remote Sens., vol. 74, no. 2, pp. 193-200, Feb. 2008.
52. X. Kang, S. Li, and J. A. Benediktsson, "Pansharpening with matting model," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 5088-5099, Aug. 2014.