The fusion of SAR images and Optical images, based on the use of wavelet transform: To improve classification accuracy

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5980, Issue , 2005, Pages

  Kim, Jun Chul ^a   Lee, Young Ran ^a   Kwak, Sung Hee ^a  

^a Satrec Initiative Co   (South Korea)

Author keywords

Classification; Fusion; Optical; SAR; Wavelet Transform

Indexed keywords

GEOGRAPHICAL REGIONS; IMAGING SYSTEMS; OPTICAL SYSTEMS; SYNTHETIC APERTURE RADAR; WAVELET TRANSFORMS;

CLASSIFICATION; OPTICAL; SAR;

IMAGE ANALYSIS;

EID: 33644531229     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.627369     Document Type: Conference Paper

References (15)

1. Aiazzi, B., L. Alparone, S. Baronti & A. Garzelli, 2002. Context driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis. IEEE Transactions on Geoscience and Remote Sensing, 40(9), in press.
2. Alparone, L., S. Baronti & A. Garzelli, 2001. Assessment of image fusion algorithms based on noncritically-decimated pyramids and wavelets. In: Proc. IEEE International Geoscience and Remote Sensing Symposium, pp. 852-854.
3. Blanc, P., T. Blu, T. Ranchin, L. Wald & R. Aloisi, 1998. Using iterated rational lter banks within the ARSIS concept for producing Landsat multispectral images. International Journal of Remote Sensing, 19(12). pp. 2331-2343.
4. Chibani, Y. & A. Houacine, 2000. On the use of the redundant wavelet transform for multisensor image fusion. In: Proc. IEEE International Conference on Electronics, Circuits and Systems, pp. 442-445.
5. Crandall R., Projects in Scientific Computation, Springer-Verlag, New York, 1994, pp. 197-198, 211-212.
6. Daubechies I., "Orthonormal Bases of Compactly Supported Wavelets," Comm. Pure Appl. Math., Vol 41, 1988, pp. 906-966.
7. Garzelli, A. & F. Soldati, 2001. Context-driven image fusion of multispectral and panchromatic data based on a redundant wavelet representation. In: IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, pp. 122-126.
8. Garzelli, A., 2002. Possibilities and limitations of the use of wavelets in image fusion. In: Proc. IEEE International Geoscience and Remote Sensing Symposium.
9. Kaiser G., A Friendly Guide to Wavelets, Birkhauser, Boston, 1994, pp. 44-45.
10. Le Moigne, J., N. S. Netanyahu, J. G. Masek, D. M. Mount & S. N. Goward, 2001. Robust matching of wavelet features for subpixel registration of landsat data. In: Proc. IEEE International Geoscience and Remote Sensing Symposium, pp. 706-708.
11. Halil I. Cakir, Siamak Khorram, X. Long Dai and Paul de Fraipont, Merging SPOT XS and SAR imagery using the wavelet transform method to improve classification accuracy. In: Proc. IEEE International Geoscience and Remote Sensing Symposium, pp.71-73.
12. Meyer Y., Wavelets: Algorithms and Applications, Society for Industrial and Applied Mathematics, Philadelphia, 1993, pp. 13-31, 101-105.
13. Nunez, J., X. Otazu, O. Fors, A. Prades, V. Pal-a & R. Arbiol, 1999. Multiresolution-based image fusion with additive wavelet decomposition. IEEE Transactions on Geoscience and Remote Sensing, 37(3), pp. 1204-1211.
14. Ranchin, T. & L. Wald, 2000. Fusion of high spatial images: the ARSIS concept and its implementation. Photogrammetric Engineering & Remote Sensing, 66(1), pp. 49-61.
15. Schistad Solberg, A. H., A. K. Jain & T. Taxt, 1994. Multisource classification of remotely sensed data: fusion of Landsat TM and SAR images. IEEE Transactions on Geoscience and Remote Sensing, 32(4), pp. 768-778.