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size_categories:
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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.
---
## 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
---
## 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}
} |