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Blaschke, T., 2010. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65 (1), 2–16.

Breiman, L., 2001. Random Forests. Machine Learning, 45 (1), 5–32.

Brook, A. and Ben-Dor, E., 2011. Automatic Registration of Airborne and Spaceborne Images by Topology Map Matching with SURF Processor Algorithm. Remote Sensing, 3 (12), 65–82.

Chen, H.-W. and Cheng, K.-S., 2012. A Conceptual Model of Surface Reflectance Estimation for Satellite Remote Sensing Images Using in situ Reference Data. Remote Sensing, 4 (12), 934–949.

Conrad, C., Colditz, R.R., Dech, S., Klein, D., and Vlek, P.L.G., 2011. Temporal segmentation of MODIS time series for improving crop classification in Central Asian irrigation systems. International Journal of Remote Sensing, 32 (23), 8763–8778.

DeFries, R., Hansen, M., Steininger, M., Dubayah, R., Sohlberg, R., and Townshend, J., 1997. Subpixel forest cover in central Africa from multisensor, multitemporal data. Remote Sensing of Environment, 60 (3), 228–246.

Elmore, A.J., Mustard, J.F., Manning, S.J., and Lobell, D.B., 2000. Quantifying Vegetation Change in Semiarid Environments: Precision and Accuracy of Spectral Mixture Analysis and the Normalized Difference Vegetation Index. Remote Sensing of Environment, 73 (1), 87–102.

Foerster, S., Kaden, K., Foerster, M., and Itzerott, S., 2012. Crop type mapping using spectral–temporal profiles and phenological information. Computers and Electronics in Agriculture, 89, 30–40.

Forkuor, G., Conrad, C., Thiel, M., Ullmann, T., and Zoungrana, E., 2014. Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa. Remote Sensing, 6 (7), 6472–6499.

Friedl, M.A. and Brodley, C.E., 1997. Decision tree classification of land cover from remotely sensed data. Remote Sensing of Environment, 61 (3), 399–409.

Gessner, U., Machwitz, M., Conrad, C., and Dech, S., 2013. Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles. Remote Sensing of Environment, 129 (0), 90–102.

Gomez-Chova, L., Zurita-Milla, R., Alonso, L., Amoros-Lopez, J., Guanter, L., and Camps-Valls, G., 2011. Gridding Artifacts on Medium-Resolution Satellite Image Time Series: MERIS Case Study. IEEE Transactions on Geoscience and Remote Sensing, 49 (7), 2601–2611.

Hansen, M.., DeFries, R.., Townshend, J.R.., Sohlberg, R., Dimiceli, C., and Carroll, M., 2002. Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data. Remote Sensing of Environment, 83, 303–319.

Hansen, M., Dubayah, R., and Defries, R., 1996. Classification trees: an alternative to traditional land cover classifiers. International Journal of Remote Sensing, 17 (5), 1075–1081.

Hansen, M.C. and DeFries, R.S., 2004. Detecting Long-term Global Forest Change Using Continuous Fields of Tree-Cover Maps from 8-km Advanced Very High Resolution Radiometer (AVHRR) Data for the Years 1982?99. Ecosystems, 7 (7), 695–716.

Hansen, M.C., DeFries, R.S., Townshend, J.R.G., Marufu, L., and Sohlberg, R., 2002. Development of a MODIS tree cover validation data set for Western Province, Zambia. Remote Sensing of Environment, 83 (1–2), 320–335.

Hruska, R., Mitchell, J., Anderson, M., and Glenn, N.F., 2012. Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle. Remote Sensing, 4 (12), 2736–2752.

Jensen, J.., 1996. Introductory digital image processing: a remote sensing perspective. Upper Saddle River, USA: Prentice-Hall Inc.

Lillesand, T.M., Kiefer, R.W., and Chipman, J.W., 2004. Remote sensing and image interpretation. Chichester, UK: John Wiley & Sons Ltd.

Lindeberg, T., 1998. Feature Detection with Automatic Scale Selection. International Journal of Computer Vision, 30 (2), 79–116.

Lobell, D.B. and Asner, G.P., 2004. Cropland distributions from temporal unmixing of MODIS data. Remote Sensing of Environment, 93 (3), 412–422.

MASON, D.C., CORR, D.G., CROSS, A., HOGG, D.C., LAWRENCE, D.H., PETROU, M., and TAILOR, A.M., 1988. The use of digital map data in the segmentation and classification of remotely-sensed images. International Journal of Geographical Information Systems, 2 (3), 195–215.

Mather, P.M., 2004. Computer Processing of Remotely Sensed Images: An Introduction. West Sussex, England: John Willey and Sons Ltd.

Mondal, A., Kundu, S., Chandniha, Surendra Kumar Shukla, R., and Mishra, P.., 2012. Comparison of Support Vector Machine and Maximum Likelihood Classification Technique using Satellite Imagery. International Journal of Remote Sensing and GIS, 1 (2), 116–123.

Murthy, C.S., Raju, P. V, and Badrinath, K.V.S., 2003. Classification of wheat crop with multi-temporal images: performance of maximum likelihood and artificial neural networks. International Journal of Remote Sensing, 24 (23), 4871–4890.

Myint, S.W., 2006. A New Framework for Effective Urban Land Use and Land Cover Classification: A Wavelet Approach. GIScience & Remote Sensing, 43 (2), 155–178.

Myint, S.W., Gober, P., Brazel, A., Grossman-Clarke, S., and Weng, Q., 2011. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sensing of Environment, 115 (5), 1145–1161.

Ozdogan, M., 2010. The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis. Remote Sensing of Environment, 114 (6), 1190–1204.

Pal, M. and Mather, P.M., 2003. An assessment of the effectiveness of decision tree methods for land cover classification. Remote Sensing of Environment, 86 (4), 554–565.

Peña-Barragán, J.M., Ngugi, M.K., Plant, R.E., and Six, J., 2011. Object-based crop identification using multiple vegetation indices, textural features and crop phenology. Remote Sensing of Environment, 115 (6), 1301–1316.

Richards, J.A., 1993. Remote Sensing Digital Image Analysis. An Introduction. Berlin: Springer-Verlag.

Richter, R. and Schläpfer, D., 2012. Atmospheric/Topographic Correction for Satellite Imagery: ATCOR-2/3 User Guide. Wil, Switzerland: ReSe Applications Schläpfer.

Smith, J.H., Stehman, S. V, Wickham, J.D., and Yang, L., 2003. Effects of landscape characteristics on land-cover class accuracy. Remote Sensing of Environment, 84 (3), 342–349.

Tottrup, C., Rasmussen, M.S., Eklundh, L., and Jönsson, P., 2007. Mapping fractional forest cover across the highlands of mainland Southeast Asia using MODIS data and regression tree modelling. International Journal of Remote Sensing, 28 (1), 23–46.

Tran, T. V., Julian, J.P., and de Beurs, K.M., 2014. Land Cover Heterogeneity Effects on Sub-Pixel and Per-Pixel Classifications. ISPRS International Journal of Geo-Information, 3, 540–553.

Tso, B. and Mather, P., 2009. Classification Methods for Remotely Sensed Data. 2nd ed. London: CRC Press Inc.

Turner, D., Lucieer, A., and Wallace, L., 2014. Direct Georeferencing of Ultrahigh-Resolution UAV Imagery. IEEE Transactions on Geoscience and Remote Sensing, 52 (5), 2738–2745.

Turner, D., Lucieer, A., and Watson, C., 2012. An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds. Remote Sensing, 4 (12), 1392–1410.

Wang, F., 1990. Fuzzy supervised classification of remote sensing images. Geoscience and Remote Sensing, IEEE Transactions on.

Wang, P., An, W., Deng, X., and Yang, J., 2015. Geometric correction method to correct the influence of attitude jitter on remote sensing imagery using compressive sampling. Journal of Applied Remote Sensing, 9 (1), 95077.

Wardlow, B.D., Egbert, S.L., and Kastens, J.H., 2007. Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains. Remote Sensing of Environment, 108 (3), 290–310.

Wardlow, B.D., Kastens, J.H., and Egbert, S.L., 2006. Using USDA Crop Progress Data for the Evaluation of Greenup Onset Date Calculated from MODIS 250-Meter Data. Photogrammetric engineering and remote sensing, 72 (11), 1225–1234.

De Wit, A.J.W. and Clevers, J.G.P.W., 2004. Efficiency and accuracy of per-field classification for operational crop mapping. International Journal of Remote Sensing, 25 (20), 4091–4112.

Xiao, X., Boles, S., Frolking, S., Salas, W., Moore, B., Li, C., He, L., and Zhao, R., 2002. Landscape-scale characterization of cropland in China using Vegetation and Landsat TM images. International Journal of Remote Sensing, 23 (18), 3579–3594.