Influence of wavelet type on the classification of marsh vegetation from satellite imagery using a combination of wavelet texture and statistical component analyses

Canadian Journal of Remote Sensing

Volumn 33, Issue 4, 2007, Pages 260-265

  Laba, Magdeline ^a   Smith, Stephen ^b   Sullivan, Patrick ^b   Philpot, William ^a   Baveye, Philippe ^c  

^a Cornell University   (United States)

^b Department of Obstetrics Gynecology   (United States)

^c UNIVERSITY OF ABERTAY DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; VEGETATION;

INDEPENDENT COMPONENT ANALYSIS (ICA); STATISTICAL COMPONENT ANALYSES; WAVELET TEXTURE;

SATELLITE IMAGERY;

EID: 35748973882     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m07-034     Document Type: Article

References (30)

1. Arzandeh, S., and Wang, J. 2002. Texture evaluation of RADARSAT imagery for wetland mapping. Canadian Journal of Remote Sensing, Vol. 28, No. 5, pp. 653-666.
2. Bharati, M.H., Liu J.J., and MacGregor, J.F. 2004. Image texture analysis: methods and comparisons. Chemometrics and Intelligent Laboratory Systems, Vol. 72, pp. 57-71.
3. Bruce, A., and Gao, H. 1996. Applied wavelet analysis with S-Plus. Springer, New York.
4. Carr, J.R., and de Miranda, F.P. 1998. The semivariogram in comparison to the co-occurrence matrix for classification of image texture. IEEE Transactions on Geoscience and Remote Sensing, Vol. 36, No. 6, pp. 1945-1952.
5. Chang, T., and Kuo, C.C.J. 1993. A wavelet transform approach to texture analysis. IEEE Transactions on Image Processing, Vol. 2, pp. 429-441.
6. Chen, D., Stow, D.A., and Gong, P. 2004. Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case. International Journal of Remote Sensing, Vol. 25, No. 11, pp. 2177-2192.
7. Chiu, W., and Couloigner, I. 2004. Evaluation of incorporating texture into wetland mapping from multispectral images. EARSeL eProceedings 3, Vol. 3, pp. 363-371.
8. Comon, P. 1994. Independent component analysis. A new concept? Signal Processing, Vol. 36, pp. 287-314.
9. Dekker, R.J. 2003. Texture analysis and classification of ERS SAR images for map updating of urban areas in the Netherlands. IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 9, pp. 1950-1958.
10. Franklin, S.E., Hall, R.J., Moskal, L.M., Maudie, A.J., and Lavigne, M.B. 2000. Incorporating texture into classification of forest species composition from airborne multispectral images. International Journal of Remote Sensing, Vol. 21, No. 1, pp. 61-79.
11. Franklin, S.E., Wulder, M.A., and Gerylo, G.R. 2001. Texture analysis of IKONOS panchromatic data for Douglas-fir forest age class separability in British Columbia. International Journal of Remote Sensing, Vol. 22, No. 13, pp. 2627-2632.
12. Haralick, R.M. 1979. Statistical and structural approaches to texture. Proceedings of the IEEE, Vol. 67, No. 5, pp. 768-804.
13. Hyvarinen, A., and Oja, E. 2000. Independent component analysis: algorithms and applications. Neural Networks, Vol. 13, No. 4-5, pp. 411-430.
14. IEEE. 1990. Standard glossary of image processing and pattern recognition terminology. IEEE, Piscataway, N.J.
15. Jutten, C., and Herault, J. 1991. Blind separation of sources. 1. An adaptive algorithm based on neurometric architecture. Signal Processing, Vol. 24, No. 1, pp. 1-10.
16. Laba, M., Tsai, F., Ogurcak, D., Smith, S., and Richmond, M.E. 2005. Field determination of optimal dates for the discrimination of invasive wetland plant species using derivative spectral analysis. Photogrammetric Engineering & Remote Sensing, Vol. 71, No. 5, pp. 603-611.
17. Lee, J., and Philpot, W.D. 1991. Spectral texture pattern matching: a classifier for digital imagery. IEEE Transactions on Geoscience and Remote Sensing, Vol. 29, No. 4, pp. 545-554.
18. Maillard, P. 2003. Comparing texture analysis methods through classification. Photogrammetric Engineering & Remote Sensing, Vol. 69, No. 4, pp. 357-367.
19. Marceau, D.J., Howarth, P.J., Dubois, J.M., and Gratton, D.J. 1990. Evaluation of the grey-level co-occurrence matrix method for land-cover classification using SPOT imagery. IEEE Transactions on Geoscience and Remote Sensing, Vol. 28, No. 4, pp. 513-518.
20. Myint, S.W., Lam, N., and Tyler, J. 2002. An evaluation of four different wavelet decomposition procedures for spatial feature discrimination in urban areas. Transactions in GIS, Vol. 6, No. 4, pp. 803-812.
21. Myint, S.W., Lam, N., and Tyler, L.M. 2004. Wavelets forurban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches. Photogrammetric Engineering & Remote Sensing, Vol. 70, No. 7, pp. 803-812.
22. Pearlstine, L., Portier, K.M., and Smith, S.E. 2005. Textural discrimination of an invasive plant, Schinus terebinthifolius, from low altitude aerial digital imagery. Photogrammetric Engineering & Remote Sensing, Vol. 71, No. 3, pp. 289-298.
23. Puissant, A., Hirsch, J., and Weber, C. 2005. The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery. International Journal of Remote Sensing, Vol. 26, No. 4, pp. 733-745.
24. Russ, J.C. 1999. The image processing handbook. 3rd ed. CRC Press, Boca Raton, Fla.
25. Ruttimann, U.E., Unser, M., Rawlings, R.R., Rio, D., Ramsey, N.F., Mattay, V.S., Hommer, D.W., Frank, J.A., and Weinberger, D.R. 1998. Statistical analysis of functional MRI data in the wavelet domain. IEEE Transactions on Medical Imaging, Vol. 17, No. 2, pp. 142-154.
26. Smith, J.R., and Chang, S.F. 1995. Automated image retrieval using color and texture. Technical Report CU/CTR 408-95-14, Columbia University, New York.
27. Spencer, N.R. (Editor). 2000. Proceedings of the 10th International Symposium on Biological Control of Weeds, 4-14 July 1999, Bozeman, Mont. Montana State University, Bozeman, Mont.
28. Treitz, P.M., Howard, P.J., Filho, O.R., and Soulis, E.D. 2000. Agricultural crop classification using SAR tone and texture statistics. Canadian Journal of Remote Sensing, Vol. 26, No. 1, pp. 18-29.
29. Zhang, X.D., Younan, N.H., and O’Hara, C.G. 2005. Wavelet domain statistical hyperspectral soil texture classification. IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 3, pp. 615-618.
30. Zhu, C., and Yang, X. 1998. Study of remote sensing image texture analysis and classification using wavelet. International Journal of Remote Sensing, Vol. 19, No. 16, pp. 3197-3203.