Indian Pines Hyperspectral Dataset: 200 Spectral Bands

Indian Pines Hyperspectral Dataset is a benchmark collection for hyperspectral image classification. It contains imagery with 200 spectral bands. The dataset's author, organization, and specific size are unknown.

Use Cases

• Benchmarking hyperspectral image classification algorithms based on the 200 spectral bands.
• Developing spectral unmixing or feature extraction methods based on high-dimensional spectral data.
• Training models for land cover or crop type identification from hyperspectral imagery.

Strengths

• Contains 200 spectral bands, providing high-dimensional spectral information.
• Serves as a recognized benchmark dataset for its domain.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Geography

Indian Pines (likely a location in Indiana, USA)