A simulation for hyperspectral thermal IR imaging sensors

Kwan, Yit-Tsi; Sawtelle, S.; Bernstein, Uri; Pereira, W. E.; Less, Dave

doi:10.1117/12.777845

Cited by 1 publication

(1 citation statement)

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“…[LBM*09] performed a set of ray‐tracing simulations of the thermal response of a cup for mid‐wavelength infrared (1.3–3

μ

m) using a simplified global illumination model to consider reflections. Military studies are particularly interested in rendering mid‐wave and long‐wave radiation of fields for motion‐detection; hence some approaches were presented using ray‐tracing and empirical BRDF models [LCDG07, KSB*08]. Wu et al .…”

Section: Long‐wave Modelling and Simulationmentioning

confidence: 99%

Physically Based Simulation and Rendering of Urban Thermography

Aguerre

García‐Nevado

Miño

et al. 2020

Computer Graphics Forum

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Urban thermography is a non‐invasive measurement technique commonly used for building diagnosis and energy efficiency evaluation. The physical interpretation of thermal images is a challenging task because they do not necessarily depict the real temperature of the surfaces, but one estimated from the measured incoming radiation. In this sense, the computational rendering of a thermal image can be useful to understand the results captured in a measurement campaign. The computer graphics community has proposed techniques for light rendering that are used for its thermal counterpart. In this work, a physically based simulation methodology based on a combination of the finite element method (FEM) and ray tracing is presented. The proposed methods were tested using a highly detailed urban geometry. Directional emissivity models, glossy reflectivity functions and importance sampling were used to render thermal images. The simulation results were compared with a set of measured thermograms, showing good agreement between them.

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“…[LBM*09] performed a set of ray‐tracing simulations of the thermal response of a cup for mid‐wavelength infrared (1.3–3