---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': airport
          '1': beach
          '2': bridge
          '3': commercial
          '4': desert
          '5': farmland
          '6': football field
          '7': forest
          '8': industrial
          '9': meadow
          '10': mountain
          '11': park
          '12': parking
          '13': pond
          '14': port
          '15': railway station
          '16': residential
          '17': river
          '18': viaduct
  splits:
  - name: train
    num_bytes: 115362308.8
    num_examples: 1005
  download_size: 113327264
  dataset_size: 115362308.8
license: cc-by-4.0
---
# Dataset Card for "WHU-RS19"

## Dataset Description

- **Paper:** [Structural high-resolution satellite image indexing](https://hal.science/hal-00458685/document)
- **Paper:** [Satellite image classification via two-layer sparse coding with biased image representation](https://ieeexplore.ieee.org/iel5/8859/4357975/05545358.pdf)

### Licensing Information

Public Domain

## Citation Information

[Structural high-resolution satellite image indexing](https://hal.science/hal-00458685/document)

[Satellite image classification via two-layer sparse coding with biased image representation](https://ieeexplore.ieee.org/iel5/8859/4357975/05545358.pdf)

```
@article{xia2009structural,
  title={Structural high-resolution satellite image indexing},
  author={Xia, Gui-Song and Yang, Wen and Delon, Julie and Gousseau, Yann and Sun, Hong and Ma{\^\i}tre, Henri},
  year={2009}
}

@article{dai2010satellite,
  title={Satellite image classification via two-layer sparse coding with biased image representation},
  author={Dai, Dengxin and Yang, Wen},
  journal={IEEE Geoscience and remote sensing letters},
  volume={8},
  number={1},
  pages={173--176},
  year={2010},
  publisher={IEEE}
}
```