Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data

Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019) · cited 67× · AI/ML
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Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-synthetic-minority-over-sampling-technique-based-rotation-forest-for-the-classification-of-imbalanced-hyperspect
MLA “Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-synthetic-minority-over-sampling-technique-based-rotation-forest-for-the-classification-of-imbalanced-hyperspect.
BibTeX @misc{4ortxyz_dynamic-synthetic-minority-over-sampling-technique-based-rotation-forest-for-the-classification-of-imbalanced-hyperspect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-synthetic-minority-over-sampling-technique-based-rotation-forest-for-the-classification-of-imbalanced-hyperspect}, note = {Accessed: 2026-05-24}}
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