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Optical Engineering • Open Access

Soil signature simulation of complex mixtures and particle size distributions
Author(s): Tyler Carson; Charles M. Bachmann; Carl Salvaggio

Paper Abstract

Soil reflectance signatures were modeled using the digital imaging and remote sensing image generation model and Blender three-dimensional (3-D) graphic design software. Using these tools, the geometry, radiometry, and chemistry of quartz and magnetite were exploited to model the presence of particle size and porosity effects in the visible and the shortwave infrared spectrum. Using the physics engines within the Blender 3-D graphic design software, physical representations of granular soil scenes were created. Each scene characterized a specific particle distribution and density. Chemical and optical properties of pure quartz and magnetite were assigned to particles in the scene based on particle size. This work presents a model to describe an observed phase-angle dependence of beach sand density. Bidirectional reflectance signatures were simulated for targets of varying size distribution and density. This model provides validation for a phenomenological trade space between density and particle size distribution in complex, heterogeneous soil mixtures. It also confirms the suggestion that directional reflectance signatures can be defined by intimate mixtures that depend on pore spacing. The study demonstrated that by combining realistic target geometry and spectral measurements of pure quartz and magnetite, effects of soil particle size and density could be modeled without functional data fitting or rigorous analysis of material dynamics. This research does not use traditional function-based models for simulation. The combination of realistic geometry, physically viable particle structure, and first-principles ray-tracing enables the ability to represent signature changes that have been observed in experimental observations.

Paper Details

Date Published: 10 September 2015
PDF: 10 pages
Opt. Eng. 54(9) 094103 doi: 10.1117/1.OE.54.9.094103
Published in: Optical Engineering Volume 54, Issue 9
Show Author Affiliations
Tyler Carson, Rochester Institute of Technology (United States)
Charles M. Bachmann, Rochester Institute of Technology (United States)
Carl Salvaggio, Rochester Institute of Technology (United States)


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