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Proceedings Paper

Modeling subpixel orientation effects for hyperspectral demixing
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Paper Abstract

The radiance spectrum corresponding to a single pixel in an airborne or space-based hyperspectral image is dependent on the reflectance spectra and orientations of the material surfaces within the pixel area. We develop a hyperspectral demixing algorithm that estimates the pixel area fractions of multiple materials present within a pixel. The algorithm exploits a nonlinear physics-based image formation model that allows surfaces with multiple orientations within the pixel area. Geometric constraints are derived in conjunction with the image formation model. The algorithm involves solving a constrained nonlinear optimization problem to estimate the pixel area fractions and the surface orientation parameters. An experiment using simulated radiance spectra is presented to demonstrate the utility of the algorithm.

Paper Details

Date Published: 7 May 2007
PDF: 8 pages
Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 656518 (7 May 2007); doi: 10.1117/12.720884
Show Author Affiliations
Kartik Chandra, Univ. of California, Irvine (United States)
Glenn Healey, Univ. of California, Irvine (United States)


Published in SPIE Proceedings Vol. 6565:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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