Paper
17 May 2016 Modeling and analysis of LWIR signature variability associated with 3D and BRDF effects
Steven Adler-Golden, David Less, Xuemin Jin, Peter Rynes
Author Affiliations +
Abstract
Algorithms for retrieval of surface reflectance, emissivity or temperature from a spectral image almost always assume uniform illumination across the scene and horizontal surfaces with Lambertian reflectance. When these algorithms are used to process real 3-D scenes, the retrieved “apparent” values contain the strong, spatially dependent variations in illumination as well as surface bidirectional reflectance distribution function (BRDF) effects. This is especially problematic with horizontal or near-horizontal viewing, where many observed surfaces are vertical, and where horizontal surfaces can show strong specularity. The goals of this study are to characterize long-wavelength infrared (LWIR) signature variability in a HSI 3-D scene and develop practical methods for estimating the true surface values. We take advantage of synthetic near-horizontal imagery generated with the high-fidelity MultiService Electro-optic Signature (MuSES) model, and compare retrievals of temperature and directional-hemispherical reflectance using standard sky downwelling illumination and MuSES-based non-uniform environmental illumination.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven Adler-Golden, David Less, Xuemin Jin, and Peter Rynes "Modeling and analysis of LWIR signature variability associated with 3D and BRDF effects", Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 98400P (17 May 2016); https://doi.org/10.1117/12.2224115
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
3D modeling

Reflectivity

Bidirectional reflectance transmission function

Electro optical modeling

Long wavelength infrared

Atmospheric modeling

Glasses

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