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Deep convolution neural network with automatic attribute profiles for hyperspectral image classification.
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- Multimedia Tools & Applications, 2021, v. 80, n. 28/29, p. 35365, doi. 10.1007/s11042-020-10169-0
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A rough-GA based optimal feature selection in attribute profiles for classification of hyperspectral imagery.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, v. 24, n. 16, p. 12569, doi. 10.1007/s00500-020-04697-y
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- Article
A novel technique to detect a suboptimal threshold of neighborhood rough sets for hyperspectral band selection.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2019, v. 23, n. 24, p. 13709, doi. 10.1007/s00500-019-03909-4
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A fast partition-based batch-mode active learning technique using SVM classifier.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2018, v. 22, n. 14, p. 4627, doi. 10.1007/s00500-017-2645-0
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- Article
Component adaptive sparse representation for hyperspectral image classification.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2024, v. 28, n. 20, p. 11911, doi. 10.1007/s00500-024-09951-1
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- Article
Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images.
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- IET Image Processing (Wiley-Blackwell), 2019, v. 13, n. 8, p. 1266, doi. 10.1049/iet-ipr.2018.6496
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- Article