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annotations_creators:
- expert-generated
language:
- en
license: mit
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- DIAS
task_categories:
- image-classification
- feature-extraction
task_ids:
- land-cover-classification
pretty_name: DIAS 65-Band Hyperspectral Classification Dataset
---
# 65-Band DIAS (Digital Airborne Imaging Spectrometer) Dataset
## Dataset Description
The DIAS (Digital Airborne Imaging Spectrometer) dataset is a high-resolution airborne hyperspectral imaging benchmark comprising 65 contiguous spectral bands covering the reflective optical spectrum.
### Spectral Characteristics
- **Bands**: 65 continuous spectral channels
- **Spatial Grid**: Calibrated airborne radiance matrix
- **Format**: MATLAB `.mat` containers (`DIAS.mat` and ground-truth `DIAS_ref.mat`)
- **Classes**: Urban and agricultural land-cover classes
## Citation & Attribution
- **Dataset Curator**: Danesh Selwal (`selwaldanesh@gmail.com`)
- **Co-authored by**: Claude (`claude@anthropic.com`)
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