| | --- |
| | 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. |
| |
|
| | --- |
| |
|
| | ## 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} |
| | } |
