Remote sensing image fusion using multiscale mapped LS-SVM

IEEE Transactions on Geoscience and Remote Sensing

Volumn 46, Issue 5, 2008, Pages 1313-1322

  Zheng, Sheng ^a,b   Shi, Wen Zhong ^c   Liu, Jian ^b   Tian, Jinwen ^b  

^a CHINA THREE GORGES UNIVERSITY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Image fusion; Mapped least squares support vector machine (mapped LS SVM); Multiscale Gaussian radial basis functions (RBF); Multispectral (MS) imagery; Remote sensing; Support value transform (SVT)

Indexed keywords

CONDUCTIVE PLASTICS; DATA FUSION; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; FUSION REACTIONS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; LEAST SQUARES APPROXIMATIONS; MODULATION; QUALITY CONTROL; RADIAL BASIS FUNCTION NETWORKS; REMOTE SENSING; RESEARCH AIRCRAFT; SPACE OPTICS; SUPPORT VECTOR MACHINES; TRANSFER FUNCTIONS; TWO PHASE FLOW;

MAPPED LEAST-SQUARES SUPPORT VECTOR MACHINE (MAPPED LS-SVM); MULTISCALE GAUSSIAN RADIAL BASIS FUNCTIONS (RBF); MULTISPECTRAL (MS) IMAGERY; SUPPORT VALUE TRANSFORM (SVT);

IMAGE FUSION;

EID: 53349153427     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2007.912737     Document Type: Article

References (29)

1. C. K. Munechika, J. S. Warnick, C. Salvaggio, and J. R. Schott, "Resolution enhancement of multispectral image data to improve classification accuracy," Photogramm. Eng. Remote Sens., vol. 59, no. 1, pp. 67-72, 1993.
2. C. Pohl and J. L. van Genderen, "Multisensor image fusion in remote sensing: Concepts, methods, and applications," Int. J. Remote Sens., vol. 19, no. 5, pp. 823-854, 1998.
3. A. S. Kumar, B. Kartikeyan, and K. L. Majumdar, "Band sharpening of IRS-multispectral imagery by cubic spline wavelets," Int. J. Remote Sens., vol. 21, no. 3, pp. 581-594, Feb. 2000.
4. M. Gonzalez-Audicana, X. Otazu, O. Fors, and J. Alvarez-Mozos, "Alow 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.
5. 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. 1672-1682, Jun. 2006.
6. J. A. Malpica, "Hue adjustment to IHS pan-sharpened IKONOS imagery for vegetation enhancement," Geosci. Remote Sens. Lett., vol. 4, no. 1, pp. 27-31, Jan. 2007.
7. P. S. Pradhan, R. L. King, N. H. Younan, and D. W. Holcomb, "Estimation of the number of decomposition levels for a wavelet-based multiresolution multisensor image fusion," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 12, pp. 3674-3686, Dec. 2006.
8. X. Otazu, M. Gonzalez-Audicana, 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.
9. J. Nunez, X. Otazu, O. Fors, A. Prades, V. Palà, and R. Arbiol, "Multiresolution-based image fusion with additive wavelet decomposition," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1204-1211, May 1999.
10. 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.
11. M. Gonzáles-Audfcana, J. L. Saleta, R. G. Catalán, and R. García, "Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 6, pp. 1291-1299, Jun. 2004.
12. M. Choi, R. Y. Kim, M.-R. Nam, and H. O. Kim, "Fusion of multi-spectral and panchromatic satellite images using the curvelet transform," IEEE Trans. Geosci. Remote Sens. Lett., vol. 2, no. 2, pp. 136-140, Apr. 2005.
13. S. Ioannidou and V. Karathanassi, "Investigation of the dual-tree complex and shift-invariant discrete wavelet transforms on Quickbird image fusion," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 1, pp. 166-170, Jan. 2007.
14. 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.
15. V. Vapnik, The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995.
16. J. A. K. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Process. Lett., vol. 9, no. 3, pp. 293-300, Jun. 1999.
17. S. Zheng, Y. Q. Sun, J. W. Tian, and J. Liu, "Mapped least squares support vector machine regression," Int. J. Pattern Recogn. Artif. Intell., vol. 19, no. 3, pp. 459-475, May 2005.
18. S. Zheng, J. Liu, and J. W. Tian, "A new efficient SVM-based edge detection method," Pattern Recognit. Lett., vol. 25, no. 10, pp. 1143-1154, Jul. 2004.
19. J. A. K. Suykens, J. De Brabanter, L. Lukas, and J. Vandewalle, "Weighted least squares support vector machines: Robustness and sparse approximation," Neurocomputing, vol. 48, no. 1, pp. 85-105, Oct. 1999.
20. S. Zheng, W. Z. Shi, J. Liu, G. X. Zhu, and J. W. Tian, "Multisource image fusion method using support value transform," IEEE Trans. Image Process., vol. 16, no. 7, pp. 1831-1838, Jul. 2007.
21. J. Mercer, "Functions of positive and negative type and their connection with the theory of integral equations," Philos. Trans. R. Soc. London A, Math. Phys. Sci., vol. 209, pp. 415-446, 1909.
22. D. S. Broomhead and D. Lowe, "Multivariable functional interpolation and adaptive networks," Complex Syst., vol. 2, pp. 321-355, 1988.
23. 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.
24. 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. Summaries 4th JPL Airborne Earth Sci. Workshop, 1992, pp. 147-149. JPL Publication 92-41.
25. F. A. Kruse, J. W. Boardman, A. B. Lefkoff, K. B. Heidebrecht, A. T. Shapiro, P. J. Barloon, and A. F. H. Goetz, "The spectral image processing system (SIPS)-Interactive visualization and analysis of imaging spectrometer data," Remote Sens. Environ., vol. 44, no. 2/3, pp. 145-163, May/Jun. 1993.
26. L. Wald, "Quality of high resolution synthesised images: Is there a simple criterion?" in Proc. 3rd Conf. Fusion Earth Data: Merging Point Meas., Raster Maps Remotely Sensed Images, T. Ranchin and L. Wald, Eds., Sophia Antipolis, France, Jan. 26-28, 2000, pp. 99-103.
27. 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.
28. J. Li, "Spatial quality evaluation of fusion of different resolution images," Int. Arch. Photogramm. Remote sens. Spat. Inf. Sci., vol. 33, no. B2-2, pp. 339-346, 2000.
29. C. Thomas and L. Wald, "A MTF-based distance for the assessment of the geometrical quality of fused products," in Proc. FUSION, Florence, Italy, Jul. 10-13, 2006, pp. 1-7.