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Proceedings Paper

Reflectance/illumination separation for 3D scenes
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Paper Abstract

The spectral radiance measured by an airborne sensor is dependent on the spectral reflectance of the ground material, the orientation of the material surface, and the atmospheric and illumination conditions. We present a non-linear algorithm to estimate the surface spectral reflectance given the sensor radiance spectrum corresponding to a single pixel. The algorithm uses a low-dimensional subspace model for the reflectance spectra. The solar radiance, sky radiance, and path-scattered radiance are dependent on the environmental condition and viewing geometry and this inter-dependence is considered by using a coupled subspace model for these spectra. The algorithm uses the Levenberg-Marquardt method to estimate the subspace model parameters which are used to determine the reflectance spectrum. We have applied the algorithm to a large set of 0.42-1.74 micron sensor radiance spectra simulated for different atmospheric conditions, materials, and surface orientations. We have also examined the utility of the algorithm for reflectance recovery in digital imaging and remote sensing image generation (DIRSIG) scenes that contain 3D objects.

Paper Details

Date Published: 1 June 2005
PDF: 12 pages
Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); doi: 10.1117/12.604231
Show Author Affiliations
Kartik Chandra, Univ. of California/Irvine (United States)
Glenn Healey, Univ. of California/Irvine (United States)

Published in SPIE Proceedings Vol. 5806:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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