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Proceedings Article

Quantifying surface normal estimation

[+] Author Affiliations
Robert B. Reid, Mark E. Oxley, Matthew E. Goda

Air Force Institute of Technology

Michael T. Eismann

Air Force Research Lab.

Proc. SPIE 6240, Polarization: Measurement, Analysis, and Remote Sensing VII, 624001 (May 03, 2006); doi:10.1117/12.664161
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From Conference Volume 6240

  • Polarization: Measurement, Analysis, and Remote Sensing VII
  • Dennis H. Goldstein; David B. Chenault
  • Orlando (Kissimmee), FL | April 17, 2006

abstract

An inverse algorithm for surface normal estimation from thermal polarimetric imagery was developed and used to quantify the requirements on a priori information. Building on existing knowledge that calculates the degree of linear polarization (DOLP) and the angle of polarization (AOP) for a given surface normal in a forward model (from an object's characteristics to calculation of the DOLP and AOP), this research quantifies the impact of a priori information with the development of an inverse algorithm to estimate surface normals from thermal polarimetric emissions in long-wave infrared (LWIR). The inverse algorithm assumes a polarized infrared focal plane array capturing LWIR intensity images which are then converted to Stokes vectors. Next, the DOLP and AOP are calculated from the Stokes vectors. Last, the viewing angles, θv , to the surface normals are estimated assuming perfect material information about the imaged scene. A sensitivity analysis is presented to quantitatively describe the a priori information's impact on the amount of error in the estimation of surface normals, and a bound is determined given perfect information about an object. Simulations explored the impact of surface roughness (σ ) and the real component (n ) of a dielectric's complex index of refraction across a range of viewing angles (θv ) for a given wavelength of observation.

© (2006) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Robert B. Reid ; Mark E. Oxley ; Michael T. Eismann and Matthew E. Goda
"Quantifying surface normal estimation", Proc. SPIE 6240, Polarization: Measurement, Analysis, and Remote Sensing VII, 624001 (May 03, 2006); doi:10.1117/12.664161; http://dx.doi.org/10.1117/12.664161


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