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Proceedings Paper

Automated scene-derived normalization of spectral imagery for subpixel classification
Author(s): Robert L. Huguenin; Mo-Hwa Wang; Mark A. Karaska; Kelly E. Roberts
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Paper Abstract

Changing illumination and atmospheric conditions hamper the automated analysis of spectral imagery. Applied Analysis Inc. developed an environmental correction module as part of its subpixel classifier software. This module derives atmospheric and sun angle correction factors directly from an image without the use of predictive models. Subpixel occurrences of dark and bright surface features are used to characterize atmospheric radiance, atmospheric attenuation and sensor transfer functions. A significant component of each pixel used to derive this information can be unwanted surface reflectance from sun glint, sky illumination, or other solar-illuminated terrain materials. These spectral contributions distort the accurate assessment of atmospheric radiance, atmospheric attenuation and sensor transfer functions. By working at a subpixel level, the subpixel classifier software is able to more accurately derive these factors, resolution in improved environmental correction.

Paper Details

Date Published: 16 October 1998
PDF: 5 pages
Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); doi: 10.1117/12.328098
Show Author Affiliations
Robert L. Huguenin, Applied Analysis Inc. (United States)
Mo-Hwa Wang, Applied Analysis Inc. (United States)
Mark A. Karaska, Applied Analysis Inc. (United States)
Kelly E. Roberts, Applied Analysis Inc. (United States)


Published in SPIE Proceedings Vol. 3438:
Imaging Spectrometry IV
Michael R. Descour; Sylvia S. Shen, Editor(s)

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