https://github.com/mhaut/pResNet-HSI

Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"
https://github.com/mhaut/pResNet-HSI

deeplearning hyperspectral-image-classification residual-learning

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Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"

• Host: GitHub
• URL: https://github.com/mhaut/pResNet-HSI
• Owner: mhaut
• License: gpl-3.0
• Created: 2019-09-25T21:35:18.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-27T18:04:58.000Z (over 4 years ago)
• Last Synced: 2024-03-15T02:39:33.256Z (4 months ago)
• Topics: deeplearning, hyperspectral-image-classification, residual-learning
• Language: Python
• Homepage:
• Size: 160 KB
• Stars: 51
• Watchers: 4
• Forks: 14
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-hyperspectral-image-classification - pResNet-HSI

README

        
# Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification

The Code for "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification". [https://ieeexplore.ieee.org/document/8445697]

```

M. E. Paoletti, J. M. Haut, R. Fernandez-Beltran, J. Plaza, A. Plaza and F. Pla

Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/TGRS.2018.2860125

vol. 57, no. 2, pp. 740-754, February 2019.

```

![pResNet](https://github.com/mhaut/pResnet-HSI/blob/master/images/bottleneck.png)

## Example of use

### Download datasets

```

sh retrieveData.sh

```

### Run code

```

Without Validation

python main.py --epochs 200 --alpha 100 --tr_bsize 100 --lr 0.1 --spatialsize 11 --dataset IP --inplanes 32

With Validation

python main.py --use_val --val_percent 0.2 --epochs 200 --alpha 100 --tr_bsize 100 --lr 0.1 --spatialsize 11 --dataset IP --inplanes 32

```