mahmad00/A-Fast-and-Compact-3-D-CNN-for-HSIC mahmad00/A-Fast-and-Compact-3-D-CNN-for-HSIC

  • Stars
    star
    35
  • Rank 746,799 (Top 15 %)
  • Language
    Jupyter Notebook
  • Created over 4 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
mahmad00/A-Fast-and-Compact-3-D-CNN-for-HSIC
github

mahmad00

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

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

More Repositories

1

Conventional-to-Transformer-for-Hyperspectral-Image-Classification-Survey-2024

Jupyter Notebook
9
star
2

Artifacts-of-DR-on-Hybrid-CNN-for-HSIC

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
star
3

Multiclass-AL-HSIC-using-ELM-SVM-KNN-LORSAL

The demo partially associated with the following papers: "Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images" and "Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification".
MATLAB
7
star
4

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

IEEE TGRS
MATLAB
6
star
5

Extreme-Xception-Net-for-HSIC

IEEE J-STARS
Jupyter Notebook
4
star
6

GELM-AE-AL

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 Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification".
MATLAB
4
star
7

Disjoint-Sampling-for-Hyperspectral-Image-Classification

Disjoint-Sampling-for-Hyperspectral-Image-Classification
Jupyter Notebook
1
star