Compressive sensing reconstruction amplifies chemical signals in hyperspectral cubes, with greater amplification at lower sampling rates, demonstrated on two real chemical simulant datasets using ACE detection.
The adaptive coherence estimator for detection in wind turbine clutter,
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Empirical comparison on two real chemical-release datasets shows L1 regularization yields better ACE-based chemical detection than total variation at 90% compression.
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More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing
Compressive sensing reconstruction amplifies chemical signals in hyperspectral cubes, with greater amplification at lower sampling rates, demonstrated on two real chemical simulant datasets using ACE detection.
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Total variation vs L1 regularization: a comparison of compressive sensing optimization methods for chemical detection
Empirical comparison on two real chemical-release datasets shows L1 regularization yields better ACE-based chemical detection than total variation at 90% compression.