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Working from home
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National University of Computer and Emerging Sciences
- Pakistan
- https://scholar.google.com/citations?hl=en&user=-r57bFgAAAAJ&view_op=list_works&sortby=pubdate
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Conventional-to-Transformer-for-Hyperspectral-Image-Classification-Survey-2024
Conventional-to-Transformer-for-Hyperspectral-Image-Classification-Survey-2024 Public -
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 PublicIEEE TGRS
MATLAB 6
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Disjoint-Sampling-for-Hyperspectral-Image-Classification
Disjoint-Sampling-for-Hyperspectral-Image-Classification PublicDisjoint-Sampling-for-Hyperspectral-Image-Classification
Jupyter Notebook 1
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A-Fast-and-Compact-3-D-CNN-for-HSIC
A-Fast-and-Compact-3-D-CNN-for-HSIC PublicThe code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters
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HSI-Traditional-to-Deep-Models
HSI-Traditional-to-Deep-Models PublicForked from AnkurDeria/HSI-Traditional-to-Deep-Models
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
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