Implications and mitigation of model mismatch and covariance contamination for hyperspectral chemical agent detection
Most chemical gas detection algorithms for long-wave infrared hyperspectral images assume a gas with a perfectly known spectral signature. In practice, the chemical signature is either imperfectly measured and/or exhibits spectral variability due to temperature variations and Beers law. The performa...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
SPIE
2013
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| Online Access: | http://hdl.handle.net/1721.1/78596 |