| Finding Weak Signatures in Cluttered Backgrounds Using Covariance Matrix Methods (2007) | |||||||||||||||
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| ates the full nonlinear physics. Having said all that, however, the detection of weak plumes with characteristic "fingerprint " spectral signatures can be cast as an approximately linear signal-in-noise problem. Although weaker plumes are obviously harder to detect, the silver lining here is that weaker plumes are more nearly linear in their effect on the measured signal, and therefore linear methods can be applicable. These methods will certainly benefit from physics-based nonlinear preprocessing of the data (eg, radiance to brightness temperature, or to "pseudotransmission "), especially when these transformations enhance the linearity of the resulting processes. Another caveat to be made here is that the linear methods being discussed are aimed at finding plumes with a specific spectral signature that is known beforehand; one can apply these methods to a series of gases, by using these methods on each gas individually, but I don't think they are likely to b | |||||||||||||||
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