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Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples.

, , , and . IEEE Trans. Geoscience and Remote Sensing, 54 (3): 1519-1531 (2016)

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Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging., , , , , , , and . Neurocomputing, (2016)Rotation-Based Ensemble Classifiers for High-Dimensional Data., , , and . Fusion in Computer Vision, Springer, (2014)Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest., , , and . IGARSS, page 174-177. IEEE, (2012)A novel spectral similarity measure approach based on set operations and spectral polygon., and . IGARSS, page 4319-4322. IEEE, (2005)A novel endmember extraction method using modified maximum spectral screening., , and . IGARSS, page 1015-1018. IEEE, (2013)Sub-pixel change detection for urban land-cover analysis via multi-temporal remote sensing images., , , , and . Geo-spatial Information Science, 17 (1): 26-38 (2014)Mapping Urban Land Cover of a Large Area Using Multiple Sensors Multiple Features., , , , and . Remote Sensing, 10 (6): 872 (2018)A Novel Tri-Training Technique for Semi-Supervised Classification of Hyperspectral Images Based on Diversity Measurement., , , , and . Remote Sensing, 8 (9): 749 (2016)Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification., , , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (9): 7232-7245 (2019)Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification., , , , and . IEEE Trans. Geoscience and Remote Sensing, 54 (11): 6803-6817 (2016)