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A novel method for feature selection with random sampling HDMR and its application to hyperspectral image classification.

, , and . IGARSS, page 1108-1111. IEEE, (2015)

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A comprehensive evaluation of feature selection algorithms in hyperspectral image classification., and . IGARSS, page 489-492. IEEE, (2016)Support Vector Selection and Adaptation for Classification of Earthquake Images., , and . IGARSS (2), page 851-854. IEEE, (2009)SVM parameter selection based on harmony search with an application to hyperspectral image classification., and . SIU, page 657-660. IEEE, (2016)Extending out-of-sample manifold learning via meta-modelling techniques., and . IGARSS, page 562-565. IEEE, (2017)Graph Optimized Locality Preserving Projection Via Heuristic Optimization Algorithms., and . IGARSS, page 3065-3068. IEEE, (2019)Recursive feature selection based on non-parallel SVMs and its application to hyperspectral image classification., , and . IGARSS, page 3558-3561. IEEE, (2014)A Structural Damage Assessment Model Based on Deep Learning., , , , and . SIU, page 1-4. IEEE, (2023)Feature selection by high dimensional model representation and its application to remote sensing., , and . IGARSS, page 4938-4941. IEEE, (2012)Using single-and multi-target regression to estimate biophysical parameters of crops., , , , and . SIU, page 1-4. IEEE, (2018)Hybrid SVM and SVSA method for classification of remote sensing images., , and . IGARSS, page 2828-2831. IEEE, (2010)