Carfora et al. (2026) Cloud Detection in Hyperspectral Images: Application to PRISMA Images

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Maria Francesca Carfora, Italia De Feis, Diana Carolina Fonnegra Mora
• DOI: 10.1109/jstars.2026.3653197

Research Groups

Not specified in the provided text.

Short Summary

This paper focuses on developing and applying methods for cloud detection in hyperspectral images, specifically utilizing data from the PRISMA mission.

Objective

• To develop and apply techniques for detecting clouds in hyperspectral images, with a specific application to PRISMA satellite data.

Study Configuration

• Spatial Scale: Not specified in the provided text.
• Temporal Scale: Not specified in the provided text.

Methodology and Data

• Models used: Not specified in the provided text.
• Data sources: PRISMA hyperspectral images.

Main Results

Not specified in the provided text.

Contributions

Not specified in the provided text.

Funding

Not specified in the provided text.

Citation

@article{Carfora2026Cloud,
  author = {Carfora, Maria Francesca and Feis, Italia De and Mora, Diana Carolina Fonnegra},
  title = {Cloud Detection in Hyperspectral Images: Application to PRISMA Images},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3653197},
  url = {https://doi.org/10.1109/jstars.2026.3653197}
}