Modeling subpixel orientation effects for hyperspectral demixing

Kartik Chandra; Glenn Healey

doi:10.1117/12.720884

7 May 2007 Modeling subpixel orientation effects for hyperspectral demixing

Kartik Chandra, Glenn Healey

Proceedings Volume 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII; 656518 (2007) https://doi.org/10.1117/12.720884
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Kartik Chandra and Glenn Healey "Modeling subpixel orientation effects for hyperspectral demixing", Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 656518 (7 May 2007); https://doi.org/10.1117/12.720884

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