Signature modeling for LWIR spectrometer

Firpi, Alexer H.; Oxenrider, Jason R.; Ramachandran, Vignesh; Mitchell, Herbert J.; Tzeng, Nigel H.; Rodriguez, Benjamin M.

doi:10.1109/aero.2014.6836439

Cited by 2 publications

(1 citation statement)

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“…6 For this application, the spectral emissivity is calculated using the Johns Hopkins University Applied Physics Laboratory (JHU/APL) developed Water Removal (WATER) TES algorithm. 7 Assuming water behaves as a blackbody, the WATER algorithm searches for water band regions within the sample measurement and evaluates Planck's function for a range of predetermined possible surface temperatures (e.g., 0 to 40 • C). The error between the emissivity of interest and the average of the emissivities obtained using the water bands is calculated and a 2-D matrix of temperature vs. calculated emissivity is created.…”

Section: Dandp Ground Collection Protocolmentioning

confidence: 99%

Remote application for spectral collection

et al. 2016

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In the area of collecting field spectral data using a spectrometer, it is common to have the instrument over the material of interest. In certain instances it is beneficial to have the ability to remotely control the spectrometer. While several systems have the ability to use a form of connectivity to capture the measurement it is essential to have the ability to control the settings. Additionally, capturing reference information (metadata) about the setup, system configuration, collection, location, atmospheric conditions, and sample information is necessary for future analysis leading towards material discrimination and identification. This has the potential to lead to cumbersome field collection and a lack of necessary information for post processing and analysis. The method presented in this paper describes a capability to merge all parts of spectral collection from logging reference information to initial analysis as well as importing information into a web-hosted spectral database. This allows the simplification of collecting, processing, analyzing and storing field spectra for future analysis and comparisons. This concept is developed for field collection of thermal data using the Designs and Prototypes (D&P) Hand Portable FT-IR Spectrometer (Model 102). The remote control of the spectrometer is done with a customized Android application allowing the ability to capture reference information, process the collected data from radiance to emissivity using a temperature emissivity separation algorithm and store the data into a custom web-based service. The presented system of systems allows field collected spectra to be used for various applications by spectral analysts in the future. *

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Section: Dandp Ground Collection Protocolmentioning

confidence: 99%