J. F. Aujol, G. Aubert, and L. Blanc-f-?-aud, Wavelet-based level set evolution for classification of textured images, IEEE Transactions on Image Processing, vol.12, issue.12, pp.1634-1641, 2003.
DOI : 10.1109/TIP.2003.819309

URL : https://hal.archives-ouvertes.fr/hal-00202004

L. Breiman, J. Friedman, R. Olshen, and C. Stone, Classification and Regression Trees, 1984.

P. Coppin, I. Jonckheere, and E. Lambin, DIGITAL CHANGE DETECTION METHODS IN NATURAL ECOSYSTEM MONITORING: A REVIEW, Analysis of Multi-Temporal Remote Sensing Images, pp.1565-1596, 2004.
DOI : 10.1142/9789812777249_0001

G. Cross and A. Jain, Markov Random Field Texture Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.5, issue.1, pp.25-39, 1983.
DOI : 10.1109/TPAMI.1983.4767341

M. Do and M. Vetterli, Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance, IEEE Transactions on Image Processing, vol.11, issue.2, pp.146-158, 2002.
DOI : 10.1109/83.982822

W. T. Freeman and E. H. Adelson, The design and use of steerable filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.9, pp.891-906, 1991.
DOI : 10.1109/34.93808

M. A. Friedl and C. E. Brodley, Decision tree classification of land cover from remotely sensed data. Remote sensing of environment, pp.399-409, 1997.

C. Germain, J. P. Da-costa, O. Lavialle, and P. Baylou, Multiscale estimation of vector field anisotropy application to texture characterization, Signal Processing, vol.83, issue.7, pp.1487-1503, 2003.
DOI : 10.1016/S0165-1684(03)00064-1

URL : https://hal.archives-ouvertes.fr/hal-00160721

R. M. Haralick, Statistical and structural approaches to texture, Proceedings of the IEEE, vol.67, issue.5, pp.786-804, 1979.
DOI : 10.1109/PROC.1979.11328

B. Josso, D. R. Burton, and M. K. Lalor, Texture orientation and anisotropy calculation by Fourier transform and Principal Component Analysis, Mechanical Systems and Signal Processing, vol.19, issue.5, pp.1152-1161, 2005.
DOI : 10.1016/j.ymssp.2004.07.005

A. Laine and J. Fan, Texture classification by wavelet packet signatures, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.11, pp.1186-1191, 1993.
DOI : 10.1109/34.244679

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.203.6022

D. Lu, P. Mausel, E. Brondizio, and E. Moran, Change detection techniques, International Journal of Remote Sensing, vol.66, issue.12, pp.2365-2407, 2004.
DOI : 10.1659/0276-4741(2001)021[0175:LCCATA]2.0.CO;2

B. Luo, J. Aujol, Y. Gousseau, and S. Ladjal, Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions, 2006 IEEE International Symposium on Geoscience and Remote Sensing, pp.1465-1472, 2008.
DOI : 10.1109/IGARSS.2006.50

S. G. Mallat, A wavelet tour of signal processing, 1998.

A. Materka, M. S. , A. Materka, and M. Strzelecki, Texture Analysis, Methods A Review Texture analysis methods -a review, 1998.

T. Randen and J. H. Husoy, Filtering for texture classification: a comparative study, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.4, pp.291-310, 1999.
DOI : 10.1109/34.761261

T. R. Reed and J. M. Buf, A review of recent texture segmentation and feature extraction techniques, CVGIP : Image Understanding, vol.57, pp.359-372, 1993.

S. R. Safavian and D. Landgrebe, A survey of decision tree classifier methodology, IEEE Transactions on Systems, Man, and Cybernetics, vol.21, issue.3, pp.660-674, 1991.
DOI : 10.1109/21.97458

P. Scheunders, S. Livens, G. Van-de-wouwer, P. Vautrot, and D. Van-dyck, Wavelet-based texture analysis, Special issue on Image Processing, 1998.

M. Tuceryan and A. K. Jain, The Handbook of Pattern Recognition and Computer Vision, chapter Texture Analysis, pp.207-248, 1998.

M. Unser, Texture classification and segmentation using wavelet frames, IEEE Transactions on Image Processing, vol.4, issue.11, pp.1549-1560, 1995.
DOI : 10.1109/83.469936

M. K. Varansi and B. Aazhang, Parametric generalized Gaussian density estimation, The Journal of the Acoustical Society of America, vol.86, issue.4, pp.1404-1415, 1989.
DOI : 10.1121/1.398700