optimized-spectral-superresolution

Spectral Super-Resolution with Optimized Bands

https://github.com/ubgewali/optimized-spectral-superresolution

Science Score: 41.0%

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    Found 2 DOI reference(s) in README
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Keywords

deep-learning hyperspectral multispectral super-resolution
Last synced: 6 months ago · JSON representation ·

Repository

Spectral Super-Resolution with Optimized Bands

Basic Info
  • Host: GitHub
  • Owner: UBGewali
  • Language: Python
  • Default Branch: master
  • Size: 12.7 KB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 4
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Topics
deep-learning hyperspectral multispectral super-resolution
Created about 6 years ago · Last pushed over 5 years ago
Metadata Files
Readme Citation

README.md

Spectral Super-Resolution with Optimized Bands

This repository contains code for joint optimization of the multispectral bands and the super-resolution network to reconstruct hyperspectral spectra from multispectral signal.

Usage

```bash

cd code

```

Download the dataset

```bash

python download_dataset.py

``` This script is designed to download and install dataset from the outdoors natural dataset (http://icvl.cs.bgu.ac.il/hyperspectral/) used in our paper.

Training

```bash

python run_BO.py

```

Testing

```bash

python test_cnn.py

```

Computing performance metrics

```bash

python compute_metrics.py

```

Citation

Please cite the following article if you use the code in this repository:

U. B. Gewali, S. T. Monteiro and E. Saber, "Spectral super-resolution with optimized bands," Remote Sensing, 2019. [article][bibtex]

Contact

Utsav Gewali (ubg9540@rit.edu)

Owner

  • Login: UBGewali
  • Kind: user

Citation (citation.bib)

@article{gewali2019spectral,
  title={Spectral Super-Resolution with Optimized Bands},
  author={Gewali, Utsav B and Monteiro, Sildomar T and Saber, Eli},
  journal={Remote Sensing},
  volume={11},
  number={14},
  pages={1648},
  year={2019},
  publisher={Multidisciplinary Digital Publishing Institute}
}

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