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Classification of urban structural types with multisource data and structured models.

, , , , and . JURSE, page 1-4. IEEE, (2015)

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Contextual remote-sensing image classification through support vector machines, Markov random fields and graph cuts., , and . IGARSS, page 3722-3725. IEEE, (2014)New cascade model for hierarchical joint classification of multisensor and multiresolution remote sensing data., , , and . IGARSS, page 1543-1546. IEEE, (2015)Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing Data., and . IEEE Trans. Geoscience and Remote Sensing, 47 (3): 909-921 (2009)Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification., and . IEEE Trans. Geoscience and Remote Sensing, 51 (5-1): 2734-2752 (2013)Getting pixels and regions to agree with conditional random fields., , and . IGARSS, page 3290-3293. IEEE, (2016)Conditional copula for change detection on heterogeneous SAR data., , and . IGARSS, page 2394-2397. IEEE, (2007)Multitemporal region-based classification of high-resolution images by Markov random fields and multiscale segmentation., and . IGARSS, page 102-105. IEEE, (2011)Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery., and . IGARSS, page 2121-2124. IEEE, (2005)MRF model parameter estimation for contextual supervised classification of remote-sensing images., , and . IGARSS, page 4. IEEE, (2005)New cascade model for hierarchical joint classification of multitemporal, multiresolution and multisensor remote sensing data., , , and . ICIP, page 5247-5251. IEEE, (2014)