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home/Knowledge Base/CODES/Hyperspectral/Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution

Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution

November 24, 2021

Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution
S. K. Roy, P. Kar, D. Hong, X. Wu, A. Plaza and J. Chanussot

IEEE Transactions on Geoscience and Remote Sensing
doi: 10.1109/TGRS.2021.3120198

code : https://github.com/swalpa/G2C-Conv3D-HSI

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  • CODES
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    • Classification of Hyperspectral Images
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  Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification

Multimodal Hyperspectral Unmixing: Insights From Attention Networks  

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