README.md

metadata

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)