A new adaptive component-substitution-based satellite image fusion by using partial replacement

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 1 PART 1, 2011, Pages 295-309

  Choi, Jaewan ^a   Yu, Kiyun ^a   Kim, Yongil ^a  

^a Seoul National University   (South Korea)

Author keywords

Adaptive fusion framework; color distortion; component substitution (CS) fusion; high low resolution synthetic component image; partial replacement

Indexed keywords

ADAPTIVE FUSION; COLOR DISTORTION; COMPONENT SUBSTITUTION; HIGH-/LOW-RESOLUTION SYNTHETIC COMPONENT IMAGE; PARTIAL REPLACEMENT;

COMMUNICATION SATELLITES; MILITARY SATELLITES; REMOTE SENSING;

IMAGE FUSION;

ALGORITHM; IKONOS; IMAGE ANALYSIS; IMAGE RESOLUTION; LANDSAT; QUICKBIRD; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPOT;

EID: 78650891876     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2051674     Document Type: Conference Paper

References (45)

1. Y. Zhang, "Understanding image fusion," Photogramm. Eng. Remote Sens., vol. 70, no. 6, pp. 653-660, Jun. 2004.
2. F. Nencini, A. Garzelli, S. Baronti, and L. Alparone, "Remote sensing image fusion using the curvelet transform," Inf. Fusion, vol. 8, no. 2, pp. 143-156, Apr. 2007.
3. Y. Zhang and G. Hong, "An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images," Inf. Fusion, vol. 6, no. 3, pp. 225-234, Sep. 2005.
4. W. J. Carper, T. M. Lillesand, and R. W. Kiefer, "The use of intensity- hue-saturation transformations for merging SPOT panchromatic and multispectral image data," Photogramm. Eng. Remote Sens., vol. 56, no. 4, pp. 459-467, Apr. 1990.
5. 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.
6. M. Choi, "A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1672-1683, Jun. 2006.
7. A. Garzelli and F. Nencini, "Fusion of panchromatic and multispectral images by genetic algorithms," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2006, pp. 3810-3813. (Pubitemid 47516398)
8. M. González-Audícana, X. Otazu, O. Fors, and J. A. Alvarex-Mozos, "A low computational-cost method to fuse IKONOS images using the spectral response function of its sensors," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6, pp. 1683-1691, Jun. 2006.
9. W. Dou, Y. Chen, X. Li, and D. Z. Sui, "A general framework for component substitution image fusion: An implementation using the fast image fusion method," Comput. Geosci., vol. 33, no. 2, pp. 219-228, Feb. 2007.
10. 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.
11. B. Aiazzi, S. Baronti, and M. Selva, "Improving component substitution pansharpening through multivariate regression of MS+Pan data," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3230-3239, Oct. 2007.
12. B. Aiazzi, L. Alparone, S. Baronti, and A. Garzelli, "Context-driven fusion of high spatial and spectral resolution data based on oversampled multiresolution analysis," IEEE Trans. Geosci. Remote Sens., vol. 40, no. 10, pp. 2300-2312, Oct. 2002.
13. J. Nunez, X. Otazu, O. Fors, A. Prade, V. Pala, and R. Arbiol, "Multiresolution-based image fusion with additive wavelet decomposition," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1204-1211, Mar. 1999.
14. X. Otazu, M. González-Audícana, O. Fors, and J. Nunez, "Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 10, pp. 2376-2385, Oct. 2005.
15. M. González-Audícana, X. Otazu, O. Fors, and A. Seco, "Comparison between Mallat's and the 'a trous' discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images," Int. J. Remote Sens., vol. 26, no. 3, pp. 595-614, Feb. 2005.
16. L. Alparone, B. Aiazzi, S. Baronti, and A. Garzelli, "Sharpening of very high resolution images with spectral distortion minimization," in Proc. IGARSS, 2003, pp. 21-25.
17. T. Ranchin, B. Aiazzi, L. Alparone, S. Barronti, and L. Wald, "Image fusion-The ARSIS concept and some successful implementation schemes," ISPRS J. Photogramm. Remote Sens., vol. 58, no. 1/2, pp. 4-18, Jun. 2003.
18. B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, "MTF-tailored multiscale fusion of high-resolution MS and pan imagery," Photogramm. Eng. Remote Sens., vol. 72, no. 5, pp. 591-596, May 2006.
19. 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.
20. L. Alparone, L. Wald, J. Chanussot, C. Thomas, P. Gamba, and L. Mann Bruce, "Comparison of pansharpening algorithms: Outcome of the 2006 GRS-S data-fusion contest," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3012-3021, Oct. 2007.
21. PCI Geomatica Pan-Sharpening Technical Specification, PCI Geomatics, Richmond Hill, ON, Canada, 2005. [Online]. Available: http://www. pcigeomatics.com/pdfs/Pan-Sharpening.pdf
22. V. Karathanassi, P. Kolokousis, and S. Ioannidou, "A comparison study on fusion methods using evaluation indicators," Int. J. Remote Sens., vol. 28, no. 10, pp. 2309-2341, May 2007.
23. N. G. Konstantinos, "Comparison of nine fusion techniques for very high resolution data," Photogramm. Eng. Remote Sens., vol. 74, no. 5, pp. 647- 659, May 2008.
24. S. De Bethune, F. Muller, and M. Binard, "Adaptive intensity matching filters: A new tool for multiresolution data fusion," in Proc. AGARD Conf. 595, Multi-Sensor Syst. Data Fusion Telecommun. Remote Sens. Radar, Lisbon, Portugal, Sep. 29-Oct. 22, 1997 pp. 28:1-28:15.
25. S. De Bethune, F. Muller, and J. P. Donnay, "Fusion of multispectral and panchromatic images by local mean and variance matching filtering techniques," in Proc. 2nd Int. Conf. Fusion Earth Data Merging Point Meas. Raster Maps Remotely Sensed Images, T. Ranchin and L. Wald, Eds., Jan. 28-30, 1998, pp. 31-36.
26. K. A. Kalpoma and J. Kudoh, "Image fusion processing for IKONOS 1-m color imagery," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3075-3086, Oct. 2007.
27. D. Fasbender, J. Radoux, and P. Bogaert, "Bayesian data fusion for adaptable image pansharpening," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 6, pp. 1847-1857, Jun. 2008.
28. H. Aanaes, J. R. Sveinsson, A. A. Nielsen, T. Bovith, and J. A. Benediktsson, "Model-based satellite image fusion," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 5, pp. 1336-1346, May 2008.
29. Z. Li and H. Leung, "Fusion of multispectral and panchromatic images using a restoration-based method," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 5, pp. 1482-1491, May 2009.
30. Z. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li, "A comparative analysis of image fusion methods," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1391-1402, Jun. 2005.
31. J. H. Park andM. G. Kang, "Spatially adaptive multi- resolutionmultispectral image fusion," Int. J. Remote Sens., vol. 25, no. 23, pp. 5491-5508, Dec. 2004.
32. M. Lillo-Saavedra and C. Gonzalo, "Spectral or spatial quality for fused satellite imagery? A trade-off solution using the wavelet a trous algorithm," Int. J. Remote Sens., vol. 27, no. 7, pp. 1453-1464, Apr. 2006.
33. C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, "Synthesis of multispectral 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.
34. Y. Zhang, "A new merging method and its spectral and spatial effects," Int. J. Remote Sens., vol. 20, no. 10, pp. 2003-2014, Jul. 1999.
35. J. Li, J. Luo, D. Ming, and Z. Shen, "A new method for merging IKONOS panchromatic and multispectral image data," in Proc. IGARSS, Jul. 25-29, 2005, vol. 6, pp. 3916-3919.
36. 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.
37. 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, Jan. 2000.
38. 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.
39. Z.Wang and A. C. Bovik, "A universal image quality index," IEEE Signal Process. Lett., vol. 9, no. 3, pp. 81-84, Mar. 2002.
40. A. Garzelli, F. Nencini, and L. Capobianco, "Optimal MMSE pan sharpening of very high resolution multispectral images," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 1, pp. 228-236, Jan. 2008.
41. Y. Zhang, "Methods for image fusion quality assessment-A review, comparison and analysis," Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., vol. XXXVII, pt. B7, pp. 1101-1109, 2008.
42. 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, Feb. 1998.
43. M. M. Khan, J. Chanussot, B. Siouar, and J. Osman, "Using QNR index as decision criteria for improving fusion quality," in Proc. 2nd Int. Conf. Adv. Space Technol., Nov. 2008, pp. 149-154.
44. B. Aiazzi, S. Baronti, F. Lotti, and M. Selva, "A comparison between global and context-adaptive pansharpening of multisepctral image," IEEE Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 302-306, Apr. 2009.
45. M. 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.