Incorporation of polarization into the DIRSIG synthetic image generation model

Jason P. Meyers; John R. Schott; Scott D. Brown

doi:10.1117/12.451545

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8 November 2002 Incorporation of polarization into the DIRSIG synthetic image generation model

Jason P. Meyers, John R. Schott, Scott D. Brown

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Proceedings Volume 4816, Imaging Spectrometry VIII; (2002) https://doi.org/10.1117/12.451545
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

The Digital Imaging and Remote Sensing Synthetic Image Generation (DIRSIG) model uses a quantitative first principles approach to generate synthetic hyperspectral imagery. This paper presents the methods used to add modeling of polarization phenomenology. The radiative transfer equations were modified to use Stokes vectors for the radiance values and Mueller matrices for the energy-matter interactions. The use of Stokes vectors enables a full polarimetric characterization of the illumination and sensor reaching radiances. The bi-directional reflectance distribution function (BRDF) module was rewritten and modularized to accommodate a variety of polarized and unpolarized BRDF models. Two new BRDF models based on Torrance-Sparrow and Beard-Maxwell were added to provide polarized BRDF estimations. The sensor polarization characteristics are modeled using Mueller matrix transformations on a per pixel basis. All polarized radiative transfer calculations are performed spectrally to preserve the hyperspectral capabilities of DIRSIG. Integration over sensor bandpasses is handled by the sensor module.

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Jason P. Meyers, John R. Schott, and Scott D. Brown "Incorporation of polarization into the DIRSIG synthetic image generation model", Proc. SPIE 4816, Imaging Spectrometry VIII, (8 November 2002); https://doi.org/10.1117/12.451545

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