References
-
J. Nunez, X. Otazu, O. Fors, A. Prades, V. Pala, and R. Arbiol, “Multiresolution-Based Image Fusion with Additive Wavelet Decomposition,” IEEE Transactions of Geoscience and Remote Sensing, vol. 37(3), pp. 1204-1221, 1999.
-
J. L. Starck and F. Murtagh, “Image restoration with noise suppression using the wavelet transform,” Astron. Astrophys, vol. 228, pp. 342-350, 1994.
Z. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li, “A Comparative Analysis of Image Fusion Methods,” IEEE Transactions of Geoscience and Remote Sensing, vol. 43 (6), pp. 1391-1402, 2005.
P. Steffen, P. Heller, R. A. Gopinath, and C. S. Burrus, “Theory of regular M-band wavelet Bases,” 1993. URL: http://www.supelec-rennes.fr/ren/perso/jweiss/wavelets.html
M. J. Shensa, “The discrete wavelet transform: wedding the À Trous and Mallat algorithms,” IEEE transactions on Signal Processing, vol. 40 (10), pp. 2464-2482, 1992.
C. A. Laben, and B. V. Brower, “Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening,” United States Eastman Kodak Company (Rochester, NY). US Patent 6011875, 2000. URL: http://www.freepatentsonline.com/ 6011875.html.
J. Vrabel, P. Doraiswamy, J. McMurtrey and A. Stern, “Demonstration of the Accuracy of Improved Resolution Hyperspectral Imagery,” SPIE Symposium Proceedings, 2002.
C. Pohl and J. L. Van Genderen, “Multisensor image fusion in remote sensing: concepts, methods and applications,” International Journal of Remote Sensing, vol. 19(5), pp. 823- 854, 1998.
J. Vrabel, “Multispectral Imagery Band Sharpening Study.” Photogrammetric Engineering and Remote Sensing, 62(9), pp. 1075-1083, 1996.
Analysis of Fusion Techniques for Forestry Applications, Highland Geographic Incorporated, State University of New York College of Environmental Science and Forestry Affiliated Research Center submitted to NASA Commercial Remote Sensing Program Office, John C. Stennis Space Center, MS 39529, 1999.