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Code and data: Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning

Shell 2.55% Python 97.45%

ainet's Introduction

Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
by Haokui Zhang*, Yu Liu*, Bei Fang, Ying Li, Lingqiao Liu, Ian Reid (* denote equal contribution)

Paper link: https://arxiv.org/abs/2002.04227

1. Get "Data" and "Pretrain_on_cifar"

'DATA' and 'pretrain_on_cifar' can be found in Google Drive at this link

  1. Put 'DATA' dir under 'HSI_classification/'
  2. Put 'pretrain_on_cifar' dir under 'HSI_classification/projects/3D-ARNet/'

2. Data Preprocessing

3. Training

4. Inference

5. Adelaide AI Group

More research works from "Adelaide AI Group" can be found: https://github.com/Adelaide-AI-Group/Adelaide-AI-Group.github.io

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