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Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data., and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (5): 1344-1355 (2012)Reducing the impacts of intra-class spectral variability on soft classification and its implications for super-resolution mapping., and . IGARSS, page 2585-2588. IEEE, (2007)Citizen science in support of remote sensing research.. IGARSS, page 5387-5390. IEEE, (2015)Status of land cover classification accuracy assessment. Remote sensing of environment, 80 (1): 185--201 (2002)Land cover classification by support vector machine: towards efficient training., and . IGARSS, page 742-744. IEEE, (2004)Spatial-Temporal Super-Resolution Land Cover Mapping With a Local Spatial-Temporal Dependence Model., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (7): 4951-4966 (2019)An Iterative Interpolation Deconvolution Algorithm for Superresolution Land Cover Mapping., , , , and . IEEE Trans. Geosci. Remote. Sens., 54 (12): 7210-7222 (2016)Land Cover Classification by an Artificial Neural Network with Ancillary Information.. Int. J. Geogr. Inf. Sci., 9 (5): 527-542 (1995)Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (7): 1186 (2020)Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep neural network., , , and . CoRR, (2020)