17 May 2016 Modeling and analysis of LWIR signature variability associated with 3D and BRDF effects
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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.
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Steven Adler-Golden, Steven Adler-Golden, David Less, David Less, Xuemin Jin, Xuemin Jin, Peter Rynes, 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); doi: 10.1117/12.2224115; https://doi.org/10.1117/12.2224115

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