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hybridsn's Introduction

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification


Introduction

  • This is a keras implementation of the IEEE GRSL paper 'HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification'.

  • See https://github.com/gokriznastic/HybridSN for the original implementation in the jupyter notebook form.

  • I have adapted the code into the python script form, making it easier for running directly.

Environment & Requirements

  • CentOS Linux release 7.2.1511 (Core)
  • python 3.6.5
  • keras 2.3.1
  • spectral

Usage

Download hyperspectral data.

Download the Inidan Pines, the Salinas and the Pavia University and put them into ./dataset:

Train&Test the Inidan Pines:

python hybridsn.py -GPU 0 

You can change the namespace and conduct experiements under your preferred setting.

References

https://github.com/gokriznastic/HybridSN

hybridsn's People

Contributors

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