10 May 2011 Next generation signature-based hyperspectral detection: a challenge to atmospheric modelers
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Abstract
Recent successes in detecting specific materials with hyperspectral sensing systems belie the challenging problems that loom. Easy targets, spectrally distinct from clutter, challenge neither detection algorithms, nor the methods used to translate laboratory signatures into field spectra. The full promise of wide area autonomous detection with hyperspectral systems will not be met using rudimentary algorithms, such as the linear matched filter or the ACE algorithm. Nor will signature translation methods that produce a single radiance estimate suffice. This paper suggests a new methodology for addressing future challenges, along with signature characterization protocols that would enable advanced detection capabilities.
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A. Schaum, Brian Daniel, "Next generation signature-based hyperspectral detection: a challenge to atmospheric modelers", Proc. SPIE 8040, Active and Passive Signatures II, 80400C (10 May 2011); doi: 10.1117/12.883506; https://doi.org/10.1117/12.883506
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