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http://dx.doi.org/10.7780/kjrs.2007.23.5.355

Application of the 3D Discrete Wavelet Transformation Scheme to Remotely Sensed Image Classification  

Yoo, Hee-Young (Department of Earth Science Education, Seoul National University)
Lee, Ki-Won (Department of Information System Engineering, Hansung University)
Kwon, Byung-Doo (Department of Earth Science Education, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.23, no.5, 2007 , pp. 355-363 More about this Journal
Abstract
The 3D DWT(The Three Dimensional Discrete Wavelet Transform) scheme is potentially regarded as useful one on analyzing both spatial and spectral information. Nevertheless, few researchers have attempted to process or classified remotely sensed images using the 3D DWT. This study aims to apply the 3D DWT to the land cover classification of optical and SAR(Synthetic Aperture Radar) images. Then, their results are evaluated quantitatively and compared with the results of traditional classification technique. As the experimental results, the 3D DWT shows superior classification results to conventional techniques, especially dealing with the high-resolution imagery and SAR imagery. It is thought that the 3D DWT scheme can be extended to multi-temporal or multi-sensor image classification.
Keywords
3D DWT; Land cover classification; High-resolution imagery; SAR imagery;
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1 Antonini, M., M. Barlaud, P. Mathieu, and I. Daubechies, 1992. Image coding using wavelet transform, IEEE Transaction on Image Processing, 1(2): 205-220   DOI
2 Spaendonck, R. L. C. V., T. P. H. Steeghs, I. Overeem, F. C. A. Fernandes, and J. T. Fokkema, 2001. Wavelet based volume attributes for seismic interpretation, Proceedings of EAGE 63rd Conference & Technical Exhibition, 11 - 15 June, Amsterdam, Netherlands (European Association of Geoscientists & Engineers, Houten, The Netherlands), unpaginated CDROM
3 Tzanetakis, G., G. Essl, and P. Cook, 2001. Audio Analysis using the Discrete Wavelet Transform, Proceedings of WSES International Conference Acoustics and Music: Theory and Applications (AMTA 2001), 26-30 September, Skiathos, Greece (World Scientific and Engineering Academy and Society, Wisconsin, USA), unpaginated CDROM
4 Luo, L., F. Wu, S. Li, Z. Xiong, and Z. Zhuang, 2004 Advanced motion threading for 3D wavelet video coding, Signal Processing: Image Communication, 19(7): 601-616   DOI   ScienceOn
5 Ghugre, N. R., M. Martin, M. Scadeng, S. Ruffins, T. Hiltner, R. Pautler, C. Waters, C. Readhead, R. Jacobs, and J. C. Wood, 2003. Superiority of 3D wavelet-packet denoising in MR microscopy, Magnetic Resonance Imaging, 21(8): 913-921   DOI   ScienceOn
6 Mallat, S. G., 1989. A theory of multi-resolution signal decomposition: The wavelet representation. IEEE Transaction on Pattern Analysis and Machine Intelligence, 11(7): 674-693   DOI   ScienceOn
7 Klock, H., A. Polzer, and J. M. Buhmann, 1997. Region-Based Motion Compensated 3DWavelet Transform Coding of Video, Proceedings of the 1997 IEEE International Conference on Image Processing, Vol.2, 26-29 October 1997, Santa Barbara, California (IEEE Signal Processing Society, Piscataway, New Jersey) , pp. 776-779
8 Cheung, N., C. Tang, A. Ortega, and C. S. Raghavendra, 2006. Efficient wavelet-based predictive Slepian-.Wolf coding for hyperspectral imagery, Signal Processing, 86(11): 3180-3195   DOI   ScienceOn
9 Xiong, R., J. Xu, F. Wu, and S. Li, 2005. Studies on Spatial Scalable Frameworks for Motion Aligned 3D Wavelet Video Coding, Proceedings of SPIE: Visual Communications and Image Processing 2005, Vol. 5960, 31 July 2005, Bellingham, Washington (SPIE, Bellingham, Washington), pp. 189-200
10 Addison, P. S., 2002. The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance, IOP Publishing, Bristol, Philadelphia, 6p
11 Yoo, H. Y., K. Lee, and B. D. Kwon, 2007, Implementation of 3D Discrete Wavelet Scheme for Space-borne Imagery Classification and Its Application, Proceedings of IEEE International Geoscience and Remote Sensing Symposium 2007, 25 July 2007, Barcelona, Spain, unpaginated CD-ROM
12 Chen, Z. and R. Ning, 2004. Breast volume denoising and noise characterization by 3D wavelet transform, Computerized Medical Imaging and Graphics, 28(5): 235-246   DOI   ScienceOn