Statistical characterization of hyperspectral background clutter in the reflective spectral region
Author:
Publisher
The Optical Society
Reference12 articles.
1. Statistics of hyperspectral imaging data
2. Realistic matched filter performance prediction for hyperspectral target detection
3. Background spectral library for Fort A.P. Hill, Virginia
4. Non-Gaussian random vector identification using spherically invariant random processes
5. Hyperspectral clutter statistics, generative models, and anomaly detection
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