---
size_categories:
- n<1K
license: cc-by-4.0
pretty_name: VNIRSR Hyperspectral Reflectance Dataset
---

# VNIRSR Hyperspectral Reflectance Dataset

**VNIRSR** is a visible–near-infrared (VNIR) hyperspectral reflectance image dataset introduced in  
*Two-stage framework for reconstructing spectral images from diffraction-blurred images*  
[[paper]](https://www.sciencedirect.com/science/article/abs/pii/S0143816624007693).

The dataset contains hyperspectral reflectance images and their corresponding RGB images.

- Hyperspectral reflectance data are provided in the `mat/` directory.
- RGB images are provided in the `RGB/` directory. They are simulated from the hyperspectral data using a D65 standard illuminant and the CIE 1931 color matching functions.

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## Dataset Characteristics

- **Spatial resolution**: 936 × 960  
- **Spectral range**: 400 nm – 900 nm  
- **Spectral interval**: 10 nm  
- **Number of spectral channels**: 51  
- **Number of scenes**:
  - 217 artificially constructed scenes  
  - 113 outdoor scenes  
  - Total: 330 hyperspectral data cubes

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## Citation

If you use this dataset in your research, please cite the following paper:

```bibtex
@article{xu2025two,
  title   = {Two-stage framework for reconstructing spectral images from diffraction-blurred images},
  author  = {Xu, Hao and Zhuge, Zhengyue and Chen, Bingkun and Xu, Nan and Xu, Jiahui and Zhang, Gongfu and He, Jiajian and Xu, Zhihai and Li, Qi and Chen, Yueting},
  journal = {Optics and Lasers in Engineering},
  volume  = {186},
  pages   = {108789},
  year    = {2025},
  publisher = {Elsevier}
}