Abstract

Soil reflectance signatures were modeled using the digital imaging and remote sensing image gen- eration 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 char- acterized a specific particle distribution and density. Chemical and optical properties of pure quartz and mag- netite 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 spac- ing. 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 sim- ulation. 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. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. (DOI: 10.1117/1.OE.54.9.094103)

Highlights

  • In his lecture given to the Physiological Society at Chelsea College in 1970, Rushton explained the mechanisms behind human vision using the principle of univariance.[1]

  • The parameter of particle size distribution is defined using sand that was collected from the Virginia Coast Reserve Long-Term Ecological Research project (VCRLTER).[22,23]

  • Measurements are said to be in the principal plane if the source and sensor share the same azimuth angle or if the source and sensor have azimuth angles that are separated by 180 deg

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Summary

Introduction

In his lecture given to the Physiological Society at Chelsea College in 1970, Rushton explained the mechanisms behind human vision using the principle of univariance.[1] He stated that light sensed by rods in the retina is multivariate. Their response characteristics possess a distinct wavelength dependency and a distinct power per unit area. The output of these photoreceptors is limited to the one-dimensional parameter of brightness. Wavelength only determines the proportion of incoming light that is absorbed by rods. Different combinations of wavelength and intensity can produce the same brightness

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