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Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral-spatial classification of hyperspectral images

Research article (Strathprints: The University of Strathclyde institutional repository (University of Strathclyde), 2018) · cited 44× · AI/ML
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Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral-spatial classification of hyperspectral images

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Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral-spatial classification of hyperspectral images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral-spatial classification of hyperspectral images. Retrieved May 24, 2026, from https://4ort.xyz/entity/sparse-representation-based-augmented-multinomial-logistic-extreme-learning-machine-with-weighted-composite-features-for
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BibTeX @misc{4ortxyz_sparse-representation-based-augmented-multinomial-logistic-extreme-learning-machine-with-weighted-composite-features-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral-spatial classification of hyperspectral images}}, year = {2026}, url = {https://4ort.xyz/entity/sparse-representation-based-augmented-multinomial-logistic-extreme-learning-machine-with-weighted-composite-features-for}, note = {Accessed: 2026-05-24}}
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