Paper
1 May 2017 Physics-based modeling tool development for spectral-sensing measurements under atmospheric attenuation
Author Affiliations +
Abstract
In an experimental setting where new sensing techniques are being developed and the source/medium/system parameters are in a constant state of change, a flexible radiometric prediction tool can be essential for experimental design and analysis. The Spectral Signature Sensing (SSS) analysis and visualization software development is a user-friendly analytic tool that is designed for radiometric analysis and modeling of radiant optical energy from a source to a detection system. Transmission through the atmosphere is computed with MODTRAN and the code features multiple-source options and a flexible set of parameters for the detector. It also provides a Google Earth display function to visualize the simulation scenario. In this paper a summary is presented of the radiometric calculations applied in this modeling tool. The essential components and the main features are briefly described including the system-component inputs, other options such as save and load inputs, and the resulting spectral plots and radiometric output.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xifeng Xiao, David G. Voelz, Joseph Montoya, and Miguel Salinas "Physics-based modeling tool development for spectral-sensing measurements under atmospheric attenuation", Proc. SPIE 10202, Automatic Target Recognition XXVII, 102020M (1 May 2017); https://doi.org/10.1117/12.2267741
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KEYWORDS
Sensors

Atmospheric modeling

Atmospheric sensing

Atmospheric physics

Visualization

Analytical research

Atmospheric particles

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