Performance evaluation of hyperspectral chemical detection systems
Permanent URL:
http://hdl.handle.net/2047/D20195500
Manolakis, Dimitris G. (Committee member)
Dy, Jennifer (Committee member)
Golowich, Steven (Committee member)
Performance of the cascaded system relies on the first pass reliably detecting the plume. However, detection performance is severely hampered by the inclusion of plume pixels in estimates of background quantities. We demonstrate that this problem, known as contamination, can be mitigated by iteratively applying a spatial filter to the detected pixels. Multiple detection and filtering passes can remove nearly all contamination from the background estimates, a vast improvement over single-pass techniques.
hyperspectral sensors
longwave infrared
Chemical detectors -- Mathematical models
Remote sensing -- Mathematical models
Spectral imaging
Imaging systems
Infrared technology
Vapors -- Analysis
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