I. Methods, 64 3.2.1.2 K-means with multiple restarts

J. O. Adegoke and A. M. Carleton, Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt, Journal of Hydrometeorology, vol.3, issue.4, pp.395-405, 2002.
DOI : 10.1175/1525-7541(2002)003<0395:RBSMAS>2.0.CO;2

A. Akono, A. Ndi-nyoungui, E. Tonyé, and J. Rudant, Utilization of radar remote sensing and texture analysis for Urban cartography in cameroon: application to yaounde city, ERS ? ENVISAT symposium, 2000.

]. M. Akbari, A. R. Mamanpoush, A. Gieske, M. Miranzadeh, M. Torabi et al., Crop and land cover classification in Iran using Landsat 7 imagery, Iran using Landsat 7 imagery, pp.4117-4135, 2006.
DOI : 10.1080/10106040008542139

]. U. Alon, N. Barkai, D. A. Notterman, K. Gish, S. Ybarra et al., Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays, Proceedings of the National Academy of Sciences, vol.96, issue.12, pp.6745-6750, 1999.
DOI : 10.1073/pnas.96.12.6745

]. H. Arof and F. Deravi, Circular neighbourhood and 1-D DFT features for texture classification and segmentation, IEE Proceedings - Vision, Image, and Signal Processing, vol.145, issue.3, pp.167-172, 1998.
DOI : 10.1049/ip-vis:19981688

S. Baek, A. Oh-ig-kwoun, Z. Braun, C. K. Lu, and . Shum, Digital Elevation Model of King Edward VII Peninsula, West Antarctica, From SAR Interferometry and ICESat Laser Altimetry, IEEE Geoscience and Remote Sensing Letters, vol.2, issue.4, pp.413-417, 2005.
DOI : 10.1109/LGRS.2005.853623

]. A. Bannari, P. M. Asalhi, and . Teillet, Transformed difference vegetation index (TDVI) for vegetation cover mapping, IEEE International Geoscience and Remote Sensing Symposium, 2002.
DOI : 10.1109/IGARSS.2002.1026867

S. Belongie, J. Malik-puzicha, S. , and G. Mcvey, Shape matching and object recognition using shape context " , IEEE trans Measuring the color of growing turf with a reflectance spectroradiometer, Agronomy Journal, vol.24, issue.60, pp.640-643, 1968.

]. D. Borghys, P. Verlinde, C. Perneel, and M. Acheroy, Multilevel Data Fusion for Detection of Targets using Multi-spectral Image Sequences, Optical Fusion, 1998.

C. Brekke and A. H. Solberg, Oil spill detection by satellite remote sensing, Remote Sensing of Environment, vol.95, issue.1, pp.1-13, 2005.
DOI : 10.1016/j.rse.2004.11.015

]. M. Van-breukelen and R. P. Duin, Neural network initialization by combined classifiers, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), p.215, 1998.
DOI : 10.1109/ICPR.1998.711119

P. Brodatz, Textures: A photographic album for artists and designers (Book), 1966.

R. Lorenzo-bruzzone, G. Cossu, and . Vernazza, Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images, Information Fusion, vol.3, issue.4, pp.289-297, 2002.
DOI : 10.1016/S1566-2535(02)00091-X

M. E. Cablk and C. Kratt, A methodology for mapping Shrub Canopy Cover in the Great Basin Desert using High Spatial Resolution Satellite Imagery, Desert Research Institute, Nevada System of Higher Education, 2007.

]. J. Chang, K. C. Fan, and Y. L. Chang, Multi-modal gray-level histogram modeling and decomposition, Image and Vision Computing, vol.20, issue.3, pp.203-216, 2002.
DOI : 10.1016/S0262-8856(01)00095-6

B. Chen, P. C. Tai, R. Harrison, and Y. Pan, Novel Hybrid Hierarchical-Kmeans Clustering Method for Microarray Analysis, Proceedings of IEEE Computation Systems Bioinformatics Conference Workshops, 2005.

]. P. Chen, S. C. Liew, and L. K. Kwoh, Tsunami damage assessment using high resolution satellite imagery: a case study of Aceh, Indonesia, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., pp.1405-1408, 2005.
DOI : 10.1109/IGARSS.2005.1525386

. Shui-sen-chen, Q. Liang-fu-chen, X. Liu, Q. Li, and . Tan, Remote sensing and GIS-based integrated analysis of coastal changes and their environmental impacts in Lingding Bay, Pearl River Estuary, South China, Ocean & Coastal Management, vol.48, issue.1, pp.65-83, 2005.
DOI : 10.1016/j.ocecoaman.2004.11.004

G. Luca-cicala, G. Poggi, and . Scarpa, Supervised segmentation of remote-sensing multitemporal images based on the tree-structured Markov random field model, IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, pp.1569-1572, 2004.
DOI : 10.1109/IGARSS.2004.1370614

P. J. Curran, Remote Sensing in Agriculture: An Introductory Review, Journal of Geography, vol.48, issue.4, pp.147-56, 1987.
DOI : 10.1016/0034-4257(84)90017-8

]. G. Cutter-jr, Y. Rzhanov, and L. A. Mayer, Automated segmentation of seafloor bathymetry from multibeam echosounder data using local Fourier histogram texture features, Journal of Experimental Marine Biology and Ecology, vol.285, issue.286, pp.355-370, 2003.
DOI : 10.1016/S0022-0981(02)00537-3

A. David and . Clausi, Comparison and Fusion of Co-occurrence, Gabor and MRF Texture Features for Classification of SAR Sea-Ice Imagery, ATMOSPHERE-OCEAN, vol.39, issue.3, pp.183-194, 2001.

M. Paul, L. Digiacomo, B. Washburn, B. H. Holt, and . Jones, Coastal pollution hazards in southern California observed by SAR imagery: stormwater plumes, wastewater plumes, and natural hydrocarbon seeps, Marine Pollution Bulletin, vol.49, pp.1013-1024, 2002.

N. Minh, M. Do, and . Veterli, Rotation Invariant Texture Characterization and Retrieval using Steerable Wavelet-Domain Hidden Morkov Models, IEEE Transactions on Multimedia, vol.4, issue.4, pp.517-527, 2002.

C. Paul, A. J. Doraiswamy, B. Stern, and . Akhmedov, Crop Classification in the U.S. Corn Belt Using MODIS Imagery, Presentation at the International Geoscience and Remote Sensing Symposium, 2007.

E. R. Hruschka, E. R. Hruschka, T. F. Covoes, and N. F. Ebecken, Feature selection for clustering problems: a hybrid algorithm that iterates between k-means and a Bayesian filter, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp.405-410, 2005.
DOI : 10.1109/ICHIS.2005.42

G. Elber, Geometric Texture Modeling, IEEE Computer Graphics and Applications, vol.25, issue.4, pp.66-76, 2005.
DOI : 10.1109/MCG.2005.79
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.3226

F. Mervin, C. E. Fingas, and . Brown, Review of Oil Spill Remote Sensing, Spill Science and Technology Bulletin, vol.4, issue.410, pp.199-208, 1997.

J. Feng, T. Wang, and C. Xie, Eco-Environmental Degradation in the Source Region of the Yellow River, Northeast Qinghai-Xizang Plateau, Environmental Monitoring and Assessment, vol.39, issue.12, pp.1-3125, 2006.
DOI : 10.1007/s10661-005-9169-2

. Franke, G. Heinzel, and . Menz, Assessment of NDVI- Differences Caused by Sensor Specific Relative Spectral Response Functions, 2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006.
DOI : 10.1109/IGARSS.2006.294

]. G. Geerling, M. Labrador-garcia, J. G. Clevers, A. M. Ragas, and A. J. Smits, Classification of floodplain vegetation by data fusion of spectral (CASI) and LiDAR data, International Journal of Remote Sensing, vol.29, issue.19, pp.4263-4284, 2007.
DOI : 10.1016/S0034-4257(03)00139-1

]. R. Gloaguen, P. R. Marpu, and I. Niemeyer, Automatic extraction of faults and fractal analysis from remote sensing data, Nonlinear Processes in Geophysics, vol.14, issue.2, pp.131-138, 2007.
DOI : 10.5194/npg-14-131-2007
URL : https://hal.archives-ouvertes.fr/hal-00302839

E. Gary and . Gnauck, Commercial use of remote sensing in agriculture: a case study, Proc. SPIE Sensors, Systems, and Next-Generation Satellites III, pp.632-640, 1999.

H. R. Gordon and A. Y. , Remote assessment of ocean color for interpretation of satellite visible imagery: A review, Lecture Notes on Coastal and Estuarine Studies, vol.46, issue.11, p.118, 1983.
DOI : 10.1029/LN004

]. A. Goshtasby, Fusion of multi-exposure images, Image and Vision Computing, vol.23, issue.6, pp.611-618, 2005.
DOI : 10.1016/j.imavis.2005.02.004

]. A. Greiwe and M. Ehlers, Combined Analysis of Hyperspectral and High Resolution Image Data in an Object Oriented Classification Approach, 3rd International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN), 2005.

H. Driss, M. John, R. , P. Elizabeth, J. Zarco-tejada-pablo et al., Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modelling and validation in the context of agriculture, pp.337-352, 2004.

L. David and . Hall, Perspectives on the Fusion of Image and Non-image Data, Applied Imagery Pattern Recognition Workshop, p.217, 2003.

L. J. Harman, U. Shama, K. Dand, and B. Kidwell, Remote sensing and spatial information for transportation demand management (TDM) assessment, Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS 2002 Conference Proceedings, 2003.

G. Heinz, L. J. Peterson, R. W. Johnson, and C. J. Kerk, Exploring relationships in body dimensions, Journal of Statistics Education, vol.11, issue.2, 2003.

H. Martin, S. Joseph, and A. Müller, Object-oriented mapping and analysis of urban land use/cover using IKONOS data, EARSEL symposium on Geoinformation on Europe-wide integration, 2002.

M. Hirose, Y. Mori, Y. Akamatsu, and . Li, Vegetation Cover Mapping Using Hybrid Analysis of IKONOS Data, 2004.

]. M. De-hoon, S. Imoto, J. Nolan, and S. Miyano, Open source clustering software, Bioinformatics, vol.20, issue.9, pp.1453-1454, 2004.
DOI : 10.1093/bioinformatics/bth078

A. R. Huete, A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, vol.25, issue.3, pp.295-309, 1988.
DOI : 10.1016/0034-4257(88)90106-X

L. J. Heyer, S. Kruglyak, and S. Yooseph, Exploring Expression Data: Identification and Analysis of Coexpressed Genes, Genome Research, vol.9, issue.11, pp.1106-1115, 1999.
DOI : 10.1101/gr.9.11.1106

]. M. Inaba, N. Katoh, and H. Imai, -clustering, Proceedings of the tenth annual symposium on Computational geometry , SCG '94, pp.332-339, 1994.
DOI : 10.1145/177424.178042
URL : https://hal.archives-ouvertes.fr/in2p3-01333933

J. R. Jensen and D. C. Cowen, Remote Sensing of Urban/Suburban Infrastructure and Socio-Economic Attributes, Photogrammetric Engineering and Remote Sensing, vol.72, issue.1, pp.611-622, 1999.
DOI : 10.1002/9780470979587.ch22

T. Jensen, A. Apan, F. Young, L. Zeller, and K. Cleminson, Assessing grain crop attributes using digital imagery acquired from a low-altitude remote controlled aircraft, Spatial Sciences, 2003.

J. R. Jensen, Introductory digital image processing: A remote sensing perspective, Geocarto International, vol.2, issue.1, 2005.
DOI : 10.1080/10106048709354084

L. Carol, P. R. Jones, N. O. Weckler, M. L. Maness, R. Stone et al., Remote sensing to estimate chlorophyll concentration in spinach using multi-spectral plant reflectance, ASABE Annual Meeting, 2004.

]. B. Julesz, E. N. Gilbert, L. A. Shepp, and H. L. Frisch, Inability of Humans to Discriminate between Visual Textures That Agree in Second-Order Statistics???Revisited, Perception, vol.10, issue.4, pp.391-405, 1973.
DOI : 10.1068/p020391

]. Y. Kaufman and D. Tanre, Atmospherically resistant vegetation index (ARVI) for EOS-MODIS, Proc. IEEE Int. Geoscience and Remote Sensing Symposium, pp.261-270, 1992.
DOI : 10.1109/36.134076

R. J. Kauth and G. S. Thomas, The tasseled cap--A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat, Proceedings of the Symposium on Machine Processing of Remotely Sensed Data, pp.41-51, 1976.

G. Benjamin-koetz, F. Sun, K. J. Morsdorf, M. Ranson, K. Kneubühler et al., Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization, Remote Sensing of Environment, vol.106, issue.4, pp.449-459, 2007.
DOI : 10.1016/j.rse.2006.09.013

]. S. Kotsiantis, Supervised Machine Learning: A review of classification techniques, Informatica, vol.31, pp.249-268, 2007.

]. F. Kriegler, W. A. Malila, R. F. Nalepka, and W. Richardson, Preprocessing transformations and their effects on multispectral recognition, proceedings of the sixth international symposium on remote sensing of environment, pp.97-131, 1969.

M. Laba, R. Downs, S. Smith, S. Welsh, C. Neider et al., Mapping invasive wetland plants in the Hudson River National Estuarine Research Reserve using quickbird satellite imagery, Remote Sensing of Environment, vol.112, issue.1, pp.286-300, 2008.
DOI : 10.1016/j.rse.2007.05.003

T. Sing and L. , Image representation using 2D Gabor wavelets, IEEE Transactions, vol.18, issue.10, 1996.

C. D. Camille, A. Lelong, and . Thong-chane, Application of textural analysis on very high resolution panchromatic images to map coffee orchards in Uganda, Geoscience and Remote Sensing Symposium, proc. IGARSS '03, 2003.

]. A. Likas, N. Vlassis, and J. J. Verbeek, The global k-means clustering algorithm, Pattern Recognition, vol.36, issue.2, pp.451-461, 2003.
DOI : 10.1016/S0031-3203(02)00060-2
URL : https://hal.archives-ouvertes.fr/inria-00321493

L. Liu-xongxue, M. Manchun, X. Liang, H. Feifei, and . Shuo, Review of Remotely Sensed Imagery Classification Patterns based on Object-oriented Image Analysis, Chinese Geographical Sciences, vol.16, issue.3, pp.282-288, 2006.

]. J. Lozano, J. M. Pena, and P. Larrañaga, An empirical, comparison of four initialization methods for the k-means, algorithm, Pattern Recognition Letters, vol.20, pp.1027-1040, 1999.

J. Lu and T. Yuasa, A New Algorithm for 2D Convolution on Mesh-connected SIMD Computers, Transactions of Information Processing Society of Japan, vol.37, issue.12, pp.2390-2397, 1996.

]. L. Lucchese and L. S. Mitra, Colour Image Segmentation: A State-of-the-Art Survey, proc. Indian National Science Academy, Part A, vol.67, issue.2, pp.207-222, 2001.

]. J. Lu, J. B. Tang, Z. M. Tang, and J. Y. Yang, Hierarchical initialization approach for K-Means clustering, Pattern Recognition Letters, vol.29, issue.6, pp.787-795, 2008.
DOI : 10.1016/j.patrec.2007.12.009

W. H. Freeman-]-b, W. Y. Manjunath, and . Ma, Benoît Mandelbrot The Fractal Geometry of Natures Texture Features for Browsing and Retrieval of Image data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.8, pp.837-842, 1982.

D. R. Martin, C. Fowlkes, D. Tal, and J. Malik, A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.416-423, 2001.
DOI : 10.1109/ICCV.2001.937655

G. Marshall and X. Zhou, Drought Detection in Semi-Arid Regions using Remote Sensing of Vegetation Indices and Drought Indices, Proc. IEEE International Geoscience and Remote Sensing Symposium, pp.1555-1558, 2004.

]. D. Mathiew, Synthetic Aperture Radar in the Role of Surveillance, GEC Review, vol.13, issue.3, 1998.

M. Matsuoka and F. Yamazaki, Use of Satellite SAR Intensity Imagery for Detecting Building Areas Damaged due to Earthquakes, Earthquake Spectra, EERI, vol.20, issue.3, pp.975-994, 2004.

]. J. Mcqueen, Some Methods for Classification and Analysis of Multivariate Observations, Proc. 5 th Berkeley Symposium on Mathematics and Probability, pp.281-297, 1967.

A. Miguel, L. C. Mayorga, and . Ludeman, Shift and Rotation Invariant Texture Recognition with Neural Nets, IEEE International Conference on Neural Networks, 1994.

]. P. Mumby, J. D. Hedley, J. R. Chisholm, C. D. Clark, H. Ripley et al., The cover of living and dead corals from airborne remote sensing, Coral Reefs, vol.23, issue.2, pp.171-183, 2004.
DOI : 10.1007/s00338-004-0382-1

]. P. Murphy and D. W. Aha, UCI Repository of Machine Learning databases, 1994.

R. B. Myneni, F. G. Hall, P. J. Sellers, and A. L. Marshak, The interpretation of spectral vegetation indexes, IEEE Transactions on Geoscience and Remote Sensing, vol.33, issue.2, pp.481-486, 1995.
DOI : 10.1109/36.377948

T. Murakami, N. Ishitsuka, and G. Saito, Evaportranspiration Estimates from fine-resolution NDVI, Asian Conference on Remote Sensing (ACRS), 1999.

L. Pantani, G. Ballerini, G. Cecchi, H. Edner, D. Lognoli et al., Experiments on stony monument monitoring by laser-induced fluorescence, Journal of Cultural Heritage, vol.1, issue.1, pp.345-348, 2000.
DOI : 10.1016/S1296-2074(00)00166-7

J. Petja and . Malherbe, Dawie van Zyl Using satellite imagery and rainfall data to track climate variability in South Africa, IEEE Geoscience and Remote Sensing Symposium, 2004.

N. Pettorelli, J. Gaillard, A. Mysterud, P. Duncan, N. Chr et al., Using a proxy of plant productivity (NDVI) to find key periods for animal performance: the case of roe deer, Oikos, vol.195, issue.3, pp.565-572, 2006.
DOI : 10.1111/j.0030-1299.2006.14447.x
URL : https://hal.archives-ouvertes.fr/hal-00184593

]. C. Phol and J. L. Van-genderen, Multisensor image fusion in remote sensing: concepts, methods and applications, International Journal of Remote Sensing, vol.19, issue.5, pp.823-854, 1998.

C. Pun, Rotation-invariant texture feature for image retrieval, Computer Vision and Image Understanding, vol.89, issue.1, pp.24-43, 2003.
DOI : 10.1016/S1077-3142(03)00012-2

]. J. Qi, A. Chehbouni, A. R. Huete, and Y. H. Kerr, A modified soil adjusted vegetation index, Remote Sensing of Environment, vol.48, issue.2, pp.119-126, 1994.
DOI : 10.1016/0034-4257(94)90134-1

]. J. Qi, Y. Kerr, and A. Chehbouni, External Factor Consideration in Vegetation Index Development, Proc. of Physical Measurements and Signatures in Remote Sensing, ISPRS, pp.723-730, 1994.

G. Qu, D. Zhang, and P. Yan, Medical Image Fusion by Wavelet transform modulus maxima, Optics Express, vol.9, issue.4, pp.184-190, 2001.

]. T. Ranchin and L. Wald, Fusion of high spatial and spectral resolution images: the ARSIS concept and its implementation, Journal of Photometric Engineering and Remote Sensing, vol.66, issue.8, pp.49-61, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00356168

L. Crystal, . Raymond, . B. Lara-karena, D. Kellogg, and . Mckenzie, Mapping Fuels on the Okanogan and Wenatchee National Forests, USDA Forest Service Proceedings RMRS-P-41, pp.293-304, 2006.

T. Raymond, J. Ng, and . Han, Efficient and Effective Clustering Methods for Spatial Data Mining, Intl. conf. on very large databases, pp.144-155, 1994.

]. W. Rees, Physical Principles of Remote Sensing (Book), 2 nd edition, pp.246-249, 2001.

]. J. Rouse-1973, R. H. Rouse, J. A. Hase, D. W. Schell, and . Deering, Monitoring vegetation systems in the great plain with ERTS " , in the proceedings of the third ERTS symposium, US Government printing office, pp.309-317, 1973.

]. B. Sankaragomathi, L. Ganesan, and S. Arumugam, Fractal Image Compression Applied to Remote Sensing, Proceedings of World Academy of Science, Engineering and Technology, vol.21, pp.1307-6884, 2007.

]. C. Van-der-sande, S. M. De-jong, and A. P. De-roo, A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment, International Journal of Applied Earth Observation and Geoinformation, vol.4, issue.3, pp.217-229, 2003.
DOI : 10.1016/S0303-2434(03)00003-5

M. Schaale, I. Keller, and J. Fischer, Land cover texture information extraction from remote sensing image data, proc. ASPRS-RTI annual conference, 2000.

M. Schröder, H. Rehrauer, K. Seidel, and M. Datcu, Spatial information retrieval from remote-sensing images. II. Gibbs-Markov random fields, IEEE Transactions on Geoscience and Remote Sensing, vol.36, issue.5, pp.1446-1455, 1998.
DOI : 10.1109/36.718848

S. J. Goetz, R. K. Wright, A. J. Smith, E. Zinecker, E. Schaub et al., IKONOS imagery for resource management: Tree cover, impervious surfaces, and riparian buffer analyses in the mid-Atlantic region " , Remote Sensing of Environment Assessment of pasture biomass with the normalized difference vegetation index from active ground-based sensors Canopy reflectance, photosynthesis, and transpiration, Agronomy Journal International Journal of Remote Sensing, vol.100, issue.6, pp.114-121, 1985.

K. Aaron, C. H. Shackelford, and . Davis, Fully Automated Road Network Extraction from High-Resolution Satellite Multispectral Imagery, 2003.

J. Shi and J. Malik, Normalized Cuts and Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.888-905, 2000.

]. G. Simone, A. Farina, F. C. Morabito, S. B. Serpico, and L. Bruzzone, Image fusion techniques for remote sensing applications, Information Fusion, vol.3, issue.1, pp.3-15, 2002.
DOI : 10.1016/S1566-2535(01)00056-2

K. Peter and . Allen, Geometry of Texture Recovery of Scenes of Large Scale, Computer Vision and Image Understanding, vol.88, pp.94-118, 2002.

A. Steinwolf, Software for kurtosis and skewness fitting by way of piecewise- Gaussian approximation " , Bulletin of the international statistical institute, contributed papers of 49 th ISI session, pp.433-434, 1993.

A. Stienwolf, Approximation and simulation of probability distributions with a variable kurtosis value, Computational Statistics & Data Analysis, vol.21, issue.2, pp.163-180, 1996.
DOI : 10.1016/0167-9473(95)00010-0

A. Stienwolf and S. A. Rizzi, Non-Gaussian Analysis of Turbulent Boundary Layer Fluctuating Pressure on Aircraft Skin Panels, Journal of Aircraft, vol.43, issue.6, pp.1662-1675, 2006.
DOI : 10.2514/1.18294

]. C. Stubberud, P. J. Shea, M. Klamer, and . Dale, <title>Data fusion: a conceptual approach to level 2 fusion (situational assessment)</title>, Signal Processing, Sensor Fusion, and Target Recognition XII, pp.455-462, 2003.
DOI : 10.1117/12.484887

A. Thomasson, D. Mondelain, T. Ménard, M. Nominé, Y. Godet et al., Air pollution mapping using all solid-state Lidar??systems, Comptes Rendus de l'Acad??mie des Sciences - Series IV - Physics, vol.2, issue.7, pp.923-929, 2001.
DOI : 10.1016/S1296-2147(01)01246-X
URL : https://hal.archives-ouvertes.fr/ineris-00962794

]. J. Tian, Y. Zheng, and L. Shen, A Comparative Study on Wavelet based Pixel Level Image Fusion, Signal and Image Processing, pp.444-112, 2004.

]. T. Toyoda and O. Hasegawa, Texture Classification using Extended Higher Order Local Autocorrelation Features, Proceedings of the 4 th Int. Workshop on Texture Analysis and Synthesis, pp.131-136, 2005.

T. Annelise, G. Jacques, W. Sacha, and P. Laurent, Mapping disease incidence in suburban areas using remotely sensed data, American Journal of Epidemiology, vol.156, issue.7, pp.662-668, 2002.

]. S. Trigg, D. P. Roy, and S. P. Flasse, study of the effects of surface anisotropy on the remote sensing of burned savannah, International Journal of Remote Sensing, vol.26, issue.21, pp.4869-4876, 2005.
DOI : 10.1109/36.536541

P. Ulrich, Laser remote sensing, Trends in Analytical chemistry, vol.17, pp.491-500, 1998.

A. Ahmad-ursani, K. Kpalma, and J. Ronsin, Over-segmenting the feature space for improved initialisation of k-means clustering, Intl. conf. Machine Learning and Data Analysis WCECS, 2007.

A. Ahmad-ursani, K. Kpalma, and J. Ronsin, Improved texture features based on local Fourier histogram, IMTIC, 2008.

A. Ahmad-ursani, K. Kpalma, and J. Ronsin, Texture features based on local Fourier histogram: self-compensation against rotation, Journal of Electronic Imaging, vol.17, issue.3, 2008.

]. Varma and A. Zisserman, Texture classification: are filter banks necessary?, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., pp.691-698, 2003.
DOI : 10.1109/CVPR.2003.1211534

]. P. Varshney, Multi-sensor data fusion, Electronics and Communication Engineering Journal, vol.6, issue.9, pp.245-253, 1997.

]. Vasconcelos, N. Vasconcelos, and G. Carneiro, Weakly Supervised Top-down Image Segmentation, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.1001-1006, 2006.
DOI : 10.1109/CVPR.2006.333
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.136.671

D. Verbyla, Satellite Remote Sensing of Natural Resources, LEWIS publishers, 1995.

L. Wald, Some terms of reference in data fusion, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.3, pp.1190-1193, 1999.
DOI : 10.1109/36.763269
URL : https://hal.archives-ouvertes.fr/hal-00356150

]. L. Wang, W. P. Sousa, P. Gong, and G. S. Biging, Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama, Remote Sensing of Environment, vol.91, issue.3-4, pp.432-440, 2004.
DOI : 10.1016/j.rse.2004.04.005

]. Wang, D. Ziou, C. Armenakis, D. Li, and Q. Li, A comparative analysis of image fusion methods, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.6, pp.1391-1402, 2005.
DOI : 10.1109/TGRS.2005.846874

]. M. Ward, J. R. Nuckols, S. J. Weigel, S. K. Maxwell, K. P. Cantor et al., Identifying Populations Potentially Exposed to Agricultural Pesticides Using Remote Sensing and a Geographic Information System, Environmental Health Perspectives, vol.108, issue.1, pp.5-12, 2000.
DOI : 10.1289/ehp.001085

. Toon-westra, C. Koen, R. R. Mertens, and . De-wulf, Wavelet-Based Fusion of Spot/Vegetation and Envisat/ ASAR Wide Swath Data for Wetland Mapping, 2004.

]. W. Wein, B. Roper, and N. Navab, Automatic Registration and Fusion of Ultrasound with CT for Radiotherapy, 8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2005.
DOI : 10.1007/11566489_38

D. Winker and J. Pelon, LIDAR remote sensing of aerosols and Clouds from space, pp.35-39, 2004.

]. Wright and A. Gallant, Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data, Remote Sensing of Environment, vol.107, issue.4, pp.582-605, 2007.
DOI : 10.1016/j.rse.2006.10.019

Y. Xia, . David-)-dagan, R. Feng, and . Zhao, Semi-Supervised Segmentation of Textured Images by Using Coupled MRF Model, TENCON 2005, 2005 IEEE Region 10 Conference
DOI : 10.1109/TENCON.2005.301077

]. Xiao, B. Braswell, Q. Zhang, S. Boles, and S. Frolking, Sensitivity of vegetation indices to atmospheric aerosols: continental-scale observations in Northern Asia, Remote Sensing of Environment, vol.84, issue.3, pp.385-392, 2003.
DOI : 10.1016/S0034-4257(02)00129-3

R. S. Zhiyun-xue and . Blum, Concealed weapon detection using color image fusion, Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003.
DOI : 10.1109/ICIF.2003.177504

R. Zhang and . Blum, A Region-based Image Fusion Scheme for Concealed Weapon Detection, proc. 5 th annual conf, Information Sciences and Systems, pp.168-173, 1997.

]. Zhang, A. Wong, M. Indrawan, and G. Lu, Content-based Image Retrieval Using Gabor Texture Features, IEEE Intern. Symposium on Multimedia Information Processing, 2000.

Y. Zhang, Problems in the fusion of commercial high-resolution satellite images as well as Landsat 7 images and initial solutions, International Archives of Photogrammetry and Remote Sensing (IAPRS) GeoSpatial Theory, Processing and Applications, 2002.

Y. Zhao, . Liangpei, P. Zhang, and . Li, Texture Feature Fusion for High Resolution Satellite Image Classification, Proc. Computer Graphics, Imaging and Vision (CGIV): New trends, 2005.

]. Zhou, J. Feng, and Q. Shi, Texture Feature Based on Local Fourier Transform, IEEE Transactions on Image Processing, vol.2, pp.610-613, 2001.

S. Maria-zoran and . Stefan, Climatic changes effects on spectral vegetation indices for forested areas analysis, proceedings of the 2 nd Environmental Physics Conference, pp.73-83, 2006.