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Modeling Chemical Detection Senstivities of Acitve and Passive Remote Sensing Systems.

DE200415006448

Publication Date	2003
Personal Author	Scharlemann, E. T.
Page Count	18
Abstract	During nearly a decade of remote sensing programs under the auspices of the U. S. Department of Energy (DOE), LLNL has developed a set of performance modeling codes - called APRS - for both Active and Passive Remote Sensing systems. These codes emphasize chemical detection sensitivity in the form of minimum detectable quantities with and without background spectral clutter and in the possible presence of other interfering chemicals. The codes have been benchmarked against data acquired in both active and passive remote sensing programs at LLNL and Los Alamos National Laboratory (LANL). The codes include, as an integral part of the performance modeling, many of the data analysis techniques developed in the DOE's active and passive remote sensing programs (e.g., 'band normalization' for an active system, principal component analysis for a passive system).
Keywords	Remote sensing Chemical detection Detectors Passive systems Active systems Research Modeling Spectrometers Mathematical models Equations Algorithms US Department of Energy (DOE) Lawrence Livermore National Laboratory (LLNL) Active and Passive Remote Sensing systems (APRS) Los Alamos National Laboratory (LANL)
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200414

Modeling Chemical Detection Senstivities of Acitve and Passive Remote Sensing Systems.

Modeling Chemical Detection Senstivities of Acitve and Passive Remote Sensing Systems.
DE200415006448

Publication Date	2003
Personal Author	Scharlemann, E. T.
Page Count	18
Abstract	During nearly a decade of remote sensing programs under the auspices of the U. S. Department of Energy (DOE), LLNL has developed a set of performance modeling codes - called APRS - for both Active and Passive Remote Sensing systems. These codes emphasize chemical detection sensitivity in the form of minimum detectable quantities with and without background spectral clutter and in the possible presence of other interfering chemicals. The codes have been benchmarked against data acquired in both active and passive remote sensing programs at LLNL and Los Alamos National Laboratory (LANL). The codes include, as an integral part of the performance modeling, many of the data analysis techniques developed in the DOE's active and passive remote sensing programs (e.g., 'band normalization' for an active system, principal component analysis for a passive system).
Keywords	Remote sensing Chemical detection Detectors Passive systems Active systems Research Modeling Spectrometers Mathematical models Equations Algorithms US Department of Energy (DOE) Lawrence Livermore National Laboratory (LLNL) Active and Passive Remote Sensing systems (APRS) Los Alamos National Laboratory (LANL)
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200414