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    Supplementary file 1_Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery.docx by Veera Narayana Balabathina (22518524)

    Published 2025
    “…</p>Methods<p>Thirteen supervised classification algorithms were comparatively evaluated, encompassing traditional spectral/statistical classifiers—Maximum Likelihood, Mahalanobis Distance, Minimum Distance, Parallelepiped, Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and Binary Encoding—and machine learning algorithms including Decision Tree (DT), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN). …”
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    Fig 4 - by Ashutosh P. Raman (19825936)

    Published 2024
    Subjects:
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    Fig 1 - by Ashutosh P. Raman (19825936)

    Published 2024
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    Fig 2 - by Ashutosh P. Raman (19825936)

    Published 2024
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    Fig 7 - by Ashutosh P. Raman (19825936)

    Published 2024
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