A novel image fusion algorithm based on 2D EMD and IHS

Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC

Volumn 7, Issue , 2008, Pages 4040-4044

  Qiao, Li Hong ^a   Peng, Li Zhong ^a   Guo, Wei ^b   Yuan, Wei Tao ^b  

^a HEBEI NORMAL UNIVERSITY   (China)

^b PEKING UNIVERSITY   (China)

Author keywords

2D EMD; FastRBF; IHS; Image fusion

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; CONTROL THEORY; CYBERNETICS; DATA FUSION; DISCRETE WAVELET TRANSFORMS; IMAGE ENHANCEMENT; LEARNING SYSTEMS; ROBOT LEARNING; TWO DIMENSIONAL; WAVELET TRANSFORMS;

2D EMD; DATA FUSION METHODS; EMPIRICAL MODE DECOMPOSITIONS; FASTRBF; FUSION ALGORITHMS; FUSION TECHNIQUES; HIGH FREQUENCIES; IHS; INTENSITY IMAGES; INTRINSIC MODE FUNCTIONS; MULTISPECTRAL; NONSTATIONARY SIGNALS; PANCHROMATIC IMAGES; RESIDUAL COMPONENTS; SPATIAL QUALITIES; SPECTRAL INFORMATIONS;

IMAGE FUSION;

EID: 57749105533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2008.4621109     Document Type: Conference Paper

References (17)

1. Data fusion lexicon. Data fusion subpanel of the joint directors of laboratories technical panel for C3.F E White, Code 4202, NOSC, San Diego, CA, 1991.
2. 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, pp.459-467, Apr. 1990.
3. P. S. J. r. Chavez, S. C. Sides, and J. A. Anderson, "Comparison of three different methods to merge multiresolution and multispectral data: TM and SPOT pan," Photogramm. Eng. Remote Sens., Vol.57, No.3, pp. 295-303, 1991.
4. J. G. Liu. Smoothing filter-based intensity modulation: a spectral preserve image fusion technique for improving spatial details, Int. J.Remote Sensing, vol.21, no. 18, pp. 3461-3472, 2000.
5. P. S. Chavez, "Digital merging of Landsat TM and digitized NHAP data for 1: 24.000 scale image mapping," Photogramm. Eng. Remote Sens., Vol. 52, pp. 1637-1646, Oct. 1986.
6. P. S. Chavez and J. Bowell, "Comparison of the spectral information content of Landsat Thematic Mapper and SPOT for three different sites in Phoenix, Arizona region," Photogram. Eng. Remote Sens., Vol. 54, pp. 1699-1708, Dec. 1988.
7. H. Li, S. Manjunath and S. Mitra, "Multisensor image fusion using the wavelet transform", Graphical Models and Image Processing, Vol. 57, No.3, pp. 235-245, 1995.
8. N.E. Huang, Z. Shen, S.R. Long, M.L. Wu, H.H. Shih, Q. Zheng, N.C. Yen, C.C. Tung and H.H. Liu, "The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis,"Proc. Roy. Soc. London A, Vol.454, pp. 903-995, 1998.
9. P. Flandrin, G. Rilling, and P. Gonçalvès, "Empirical mode decomposition as a filter bank," IEEE Signal Process. Lett., Vol. 11, No. 2, pp. 112-114, Feb. 2004.
10. A. Linderhed, "Adaptive image compression with wavelet packets and empirical mode decomposition," Ph.D. dissertation, Linköping Studies in Science and Technology Linköping Univ., Linköping, Sweden, 2004.
11. J.C. Nunes, S. Guyot, E. Del'echelle, "Texture analysis based on local analysis of the Bidimensional Empirical Mode Decomposition",Machine Vision and Applications, Vol.16,pp. 177-188,2005.
12. Jian Wang, JiXian Zhang, JunZheng Liu and Yang Gao, Journal of remote sensing Vol. 11, No. 1, pp. 55-61, Jan. 2007.
13. Carr, J.C, Beatson, R.K., McCallum, B.C., Fright, W.R,McLennan, T.J, Mitchell, T.J., "Reconstruction and Representation of 3D Objects with Radial Basis Functions", ACM SIGGRAPH'01, Los Angeles, CA, pp.67-76, 2001.
14. Carr, J.C, Beatson, R.K, Cherrie, J.B, Mitchell, T.J., Fright,W.R., McCallum, B.C., Evans, T.R., "Smooth Surface Reconstruction from Noisy Range Data", ACM GRAPHITE'03, Melbourne, Australia, pp.119-126, 2003.
15. E. M. Schetselaar, "Fusion by the IHS transform: should we use cylindrical or spherical coordinates?" Int. J. Remote Sensing, Vol. 19, No. 4, pp. 759-765, 1998.
16. T.-M Tu, S.-C Su, H.-C Shyu, and P. S. Huang, "A new look at IHS-like image fusion methods," Information Fusion, Vol. 2, No. 3, pp. 177-186, Sep. 2001.
17. C. Pohl and J. L. Van Genderen, " Multisensor image fusion in remote sensing: concepts, methods and applications", Int'l J.of Remote Sensing, Vol. 19,No.5,pp.823-854,1998.