References
- Tu, T.-M, Su, S. C., Shyu, H. C. and Huang, P. S. A new look at IHS-like image fusion methods. Inform. Fus., 2001, 2, 177–186.
- Park, J.-H., Wikantika, K. and Tateishi, R. Comparison of four different methods to fuse multi-sensor and multi-resolution remotely sensed data for urban topographic mapping. In Symp. Geosciences and Remote Sensing, IGARSS ’99, Hamburg, 1999, 2, 1203–1205.
- Gonzalez-Audicana, M., Saleta, J. L, Catalan, R. G. and Garcia, R. Fusion of multi-spectral and panchromatic images using improved ihs and pca mergers based on wavelet decomposition. IEEE Trans. Geosci. Remote Sens., 2004, 42(6), 1291–1299.
- Jorge, N. and Xavie, O. Multiresolution-based image fusion with additive wavelet decomposition. IEEE Trans. Geosci. Remote Sens., 1999, 37(3), 1204–1211.
- Alparone, L., Baronti, S. and Garzelli, A. Image fusion in remote sensing. In IEEE Int. Symp. Geoscience and Remote Sensing, IGARSS ’01, 2001, 2, 852–859.
- Argenti, F. and Alparone, L. Filterbanks design for multisensor data fusion. IEEE Signal Process. Lett.,. 2000, 2(5), 100–103.
- Haydn, R., Dalke, G. W. et al. Application of IHS color transform to the processing of multisensors data and image enhancement. Proc. Int. Symp. RS of Arid and Semi-Arid Lands, Cairo, Egypt, 1982, pp. 599–616.
- Xiao, G., Jing, Z., Li, J. and Leung, H. Analysis of color distortion and improvement for IHS image fusion. Proc. IEEE Int. Conf. Intelligent Transportation Systems, October 2003, Vol. 1, IEEE, Piscataway, NJ, pp. 80–85.
- Xiao, G., Jing, Z., Li, J and Leung, H. A united optimum images fusion based on analysis of color distortion. Chinese Optics Lett., 2004, 2(3), 144–147.
- Castleman, K. R. Digital Image Processing, 1996 (Prentice-Hall International, Englewood Cliffs, NJ).
- Kumar, A. S., Basu, S. K. and Majumdar, K. L. Robust classification of multispectral data using multiple neural networks and fuzzy integral. IEEE Trans. Geosci. Remote Sens., 1997, 35, 787–790.
- Wang, D., Keller, J. M.; Carson, C. A.; McAdo- Edwards, K. K. and Bailey, C. W. Use of fuzzy-logicinspired features to improve bacterial recognition through classifier fusion. IEEE Trans. Syst. Man Cybernet. B, 1998, 28, 583–591.
- Li, J., Chen, G., Chi, Z. and Lu, C. Image coding quality assessment using fuzzy integrals with a three-component image model. IEEE Trans Fuzzy Syst., 2004, 12, 99–106.
- Li, J., Chen, G. and Chi, Z. A fuzzy image metric with application to fractal coding. IEEE Trans. Image Process., 2002, 11, 636–643.
- Wang, Q., Shen, Y., Zhang, Y. and Zhang, J. Q. A quantitative method for evaluating the performances of hyperspectral image fusion. IEEE Trans. Instrum. Meas., 2003, 52(4), 1041–1047.
- Damera-Venkata, N., Kite, T. D., Geisler, W. S., Evans, B. L. and Bovik, A. C. Image quality assessment based on a degradation model. IEEE Trans. Image Process., 2000, 9, 636–650.