Chang, C.C., Lin, C.J., 2001. libsvm: A Library for Support
Vector Machines.
URL:http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf.
Congalton, R.G., Balogh, M., Bell, C., Green, K., Milliken,
J.A., Ottman, R., 1998. Mapping and monitoring agricultural
crops and other land cover in the Lower Colorado River basin.
Photogrammetric Engineering and Remote Sensing, 64, pp.
1107-1113.
Danaher, T., 2002. An empirical BRDF correction for Landsat
TM and ETM+ imagery, 11th Australasian Remote Sensing and
Photogrammetry Conference, Brisbane, Australia.
Daughtry, C.S.T., Walthall, C.L., Kim, M.S., de Colstoun, E.B.,
McMurtrey Iii, J.E., 2000. Estimating Corn Leaf Chlorophyll
Concentration from Leaf and Canopy Reflectance. Remote
Sensing of Environment, 74, pp. 229-239.
de Vries, C., Danaher, T., Denham, R., Scarth, P., Phinn, S.,
2007. An operational radiometric calibration procedure for the
Landsat sensors based on pseudo-invariant target sites. Remote
Sensing of Environment, 107, pp. 414-429.
Dixon, B., Candade, N., 2007. Multispectral landuse
classification using neural networks and support vector
machines: one or the other, or both? International Journal of
Remote Sensing, 29, pp. 1185-1206.
Gitelson, A.A., Merzlyak, M.N., 1996. Signature Analysis of
Leaf Reflectance Spectra: Algorithm Development for Remote
Sensing of Chlorophyll. Journal of Plant Physiology, 148, pp.
494-500.
Goodwin, N., Collett, L., Denham, R., Tindall, D., 2011.
Mapping long term fire history using a cloud affected time
series of Landsat TM and ETM+ imagery for Queensland,
Australia, 34th International Symposium on Remote Sensing of
Environment, Sydney.
Hansen, M., Dubayah, R., Defries, R., 1996. Classification
trees: an alternative to traditional land cover classifiers.
International Journal of Remote Sensing, 17, pp. 1075-1081.
Huang, C., Davis, L.S., Townshend, J.R.G.,, 2002. An
assessment of support vector machines for land cover
classification. International Journal of Remote Sensing, 23, pp.
725-749.
Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X.,
Ferreira, L.G., 2002. Overview of the radiometric and
biophysical performance of the MODIS vegetation indices.
Remote Sensing of Environment, 83, pp. 195-213.
Karatzoglou, A., Meyer, D., 2006. Support Vector Machines in
R. Journal of Statistical Software, 15, pp. 1-28.
Kavzoglu, T., Colkesen, L, 2009. A kernel functions analysis
for support vector machines for land cover classification.
International Journal of Applied Earth Observation and
Geoinformation, 11, pp. 352-359.
Liaw, A., Wiener, M., 2002. Classification and Regression by
randomForest. R News: The Newsletter of the R Project, 2/3.
Meyer, D., 2001. R News: The Newsletter of the R Project. 1,
pp. 23-26.
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
Mountrakis, G., Im, J., Ogole, C., 2011. Support vector
machines in remote sensing: A review. ISPRS Journal of
Photogrammetry and Remote Sensing, 66, pp. 247-259.
NASA, 2011. Landsat 7 Science Data Users Handbook. NASA,
URL:http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7 Han
dbook.pdf, pp. 30-31.
Oetter, D.R., Cohen, W.B., Berterretche, M., Maiersperger,
T.K., Kennedy, R.E., 2001. Land cover mapping in an
agricultural setting using multiseasonal Thematic Mapper data.
Remote Sensing of Environment, 76, pp. 139-155.
Pefia-Barragán, J.M., Ngugi, M.K., Plant, R.E., Six, J., 2011.
Object-based crop identification using multiple vegetation
indices, textural features and crop phenology. Remote Sensing
of Environment, 115, pp. 1301-1316.
Serra, P., Pons, X., 2008. Monitoring farmers' decisions on
Mediterranean irrigated crops using satellite image time series.
International Journal of Remote Sensing, 29, pp. 2293-2316.
Simonneaux, V., Duchemin, B., Helson, D., Er-Raki, S.,
Olioso, A., Chehbouni, A.G., 2008. The use of high-resolution
image time series for crop classification and evapotranspiration
estimate over an irrigated area in central Morocco. International
Journal of Remote Sensing, 29, pp. 95-116.
Townshend, J.R.G., 1992. Land cover. International Journal of
Remote Sensing, 13, pp. 1319-1328.
Trimble, 2010. eCognition& Developer 8.64.0 Reference Book.
Trimble Germany GmbH, Trappentreustr. 1, D-80339
Miinchen, Germany.
Ulaby, ET. li R.Y, Shanmugan, K.S., 1982 Crop
classification using airborne radar and Landsat data. IEEE
Transactions on Geosciences and Remote Sensing, 20, pp.
518-528.
Vapnik, V., 1979. Estimation of Dependences Based on
Empirical Data, Nauka, Moscow. (in Russian) English
translation: Springer Verlag, New York, 1982.pp.5165-5184
Vapnik, V., 1998. Statistical Learning Theory. Wiley, New
York
Walthall, G.L., Norman, J.M., Welles, J.M., Campbell, G.,
Blad, B.L., 1985. Simple equation to approximate the bi-
directional reflectance from vegetative canopies and bare soil
surfaces. Applied Optics, 24, pp. 383-387.