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  1. A-Disjoint-Samples-based-3D-CNN-with-Active-Transfer-Learning-for-Hyperspectral-Image-Classification A-Disjoint-Samples-based-3D-CNN-with-Active-Transfer-Learning-for-Hyperspectral-Image-Classification Public

    IEEE TGRS

    MATLAB 6

  2. A-Fast-and-Compact-3-D-CNN-for-HSIC A-Fast-and-Compact-3-D-CNN-for-HSIC Public

    The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters

    Jupyter Notebook 34 15

  3. Multiclass-AL-HSIC-using-ELM-SVM-KNN-LORSAL Multiclass-AL-HSIC-using-ELM-SVM-KNN-LORSAL Public

    The demo partially associated with the following papers: "Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images" and "Multiclass Non-Randomized Spectral–Spatial Acti…

    MATLAB 7 4

  4. GELM-AE-AL GELM-AE-AL Public

    The following demo comes for two papers "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" and "Multi-layer Extr…

    MATLAB 4 3

  5. Artifacts-of-DR-on-Hybrid-CNN-for-HSIC Artifacts-of-DR-on-Hybrid-CNN-for-HSIC Public

    The code is associated with the following paper "Artifacts of different dimension reduction methods on hybrid CNN feature hierarchy for Hyperspectral Image Classification".

    Jupyter Notebook 7 4

  6. HSI-Traditional-to-Deep-Models HSI-Traditional-to-Deep-Models Public

    Forked from AnkurDeria/HSI-Traditional-to-Deep-Models

    Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

    Jupyter Notebook 3 1