| 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`) | |