Multi-spectral and SAR images fusion via Mallat and à trous wavelet transform

2010 18th International Conference on Geoinformatics, Geoinformatics 2010

Volumn , Issue , 2010, Pages

  Han, Nianlong ^a,b   Hu, Jinxing ^a   Zhang, Wei ^a  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

trous algorithm; Mallat algorithm; SAR and multi spectral image fusion

Indexed keywords

AVERAGE GRADIENT; CORRELATION COEFFICIENT; DECOMPOSITION LEVEL; ENTROPY VALUE; FUSION IMAGE; GEOGRAPHIC COORDINATES; IMAGE FUSION METHODS; MALLAT ALGORITHM; MULTI-SPECTRAL; MULTISPECTRAL IMAGES; PIXEL SIZE; ROAD NETWORK; SAR IMAGES; SPECTRAL IMAGES; SPECTRAL INFORMATION; TEXTURAL INFORMATION; TEXTURE INFORMATION; TM IMAGE; TROUS ALGORITHMS;

ALGORITHMS; ENTROPY; MOTOR TRANSPORTATION; TEXTURES; WAVELET DECOMPOSITION;

IMAGE FUSION;

EID: 77958075283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GEOINFORMATICS.2010.5567653     Document Type: Conference Paper

References (14)

1. L. Alparone, L. Facheris, S. Baronti and A. Garzelli, F. Nencini. Fusion of multispectral and SAR images by intensity modulation, Proceedings of the 7th International Conference on Information Fusion, Stockholm, Sweden, June 28 - July 1, 2004
2. M. González-Audícana, J.L. Saleta, R.G. Catalán and R. García. Fusion of Multispectral and Panchromatic Images Using Improved HIS and PCA Mergers Based. IEEE Transactions onGeoscience and Remote Sensing. vol 42, No. 6, pp.1291-1298,2004.
3. O. Gungor.Multi Sensor Multi Resolution Image Fusion.Ph.D.thesis, PurdueUniversity, America, 2008.
4. C. Pohl and J. L. Van Genderen. Multisensor image fusion in remote sensing: concepts, methods and applications. International Journal of Remote Sensing, vol. 19, No. 5., pp. 823-854,1998.
5. A.Garzelli.Wavelet-based fusion of optical and sar image data over urban area. ISPRS Commission II. Graz, Austria,September 9-13, 2002.
6. V. K. Shettigara. A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution dataset, Photogramm. Eng. Remote Sens., vol.58, pp.561-567, 1992.
7. P. S. Chavez, J. Stuart, C. Sides and J. A. Anderson. Comparison of three different methods to merge multiresolution and multispectral data:Landsat TM and SPOT panchromatic. Photogramm.Eng. Remote Sens., vol. 57, pp. 259-303, 1991.
8. S.G. Mallat. A multiresolution signal decomposition: the wavelet transform IEEE Trans. Pattern Anal. Mach. Intell. vol. 11, No. 7., pp 674-693,1989.
9. J. Nunez, X. Otazu, O. Fors, A. Prades, V. Pala and R. Arbiol. Multiresolution-Based Image Fusion with Additive Wavelet Decomposition. IEEE Transactions on Geoscience and Remote Sensing, vol.37, No.3,pp.1204-1211,1999.
10. M.J. Shensa. The discrete wavelet transform: wedding the a trous and Mallatalgorithms. IEEE Transactions on Signal Processing,vol.40. No.7,pp.2464-2482.1992
11. P. Hill , N.Canagarajah, and D.Bull. Image Fusion Using Complex Wavelets. Proceedings of the 13th British Machine Vision Conference,University of Cardiff, September,pp.2-5, 2002.
12. A. Bijaoui, J.L. Starck and F. Murtagh. Restauration des images mult-iéchellespar l'algorithme à trous. Traitement du signal, vol. 11, pp. 229-243, 1994.
13. Y. Chibani and A. Houacine. Redundant versus orthogonal wavelet decomposition for multisensor image fusion. Pattern Recognition, vol 36,pp.879-887,2003.
14. C. Ramesh and T. Ranjith. Fusion performance Measures and a Lifting Wavelet Transform Based Algorithm for Image Fusion. Proceeding of the Fifth International Conference on Information Fusion,vol.1,pp. 317-320,2002.