Paper
14 April 2008 A novel method for illumination suppression in hyperspectral images
Author Affiliations +
Abstract
We have proposed a new method for illumination suppression in hyperspectral image data. This involves transforming the data into a hyperspherical coordinate system, segmenting the data cloud into a large number of classes according to the radius dimension, and then demeaning each class, thereby eliminating the distortion introduced by differential absorption in shaded regions. This method was evaluated against two other illumination-suppression methods using two metrics: visual assessment and spectral similarity of similar materials in shaded and fully illuminated regions. The proposed method shows markedly superior performance by each of these metrics.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward A. Ashton, Brian D. Wemett, Robert A. Leathers, and Trijntje V. Downes "A novel method for illumination suppression in hyperspectral images", Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69660C (14 April 2008); https://doi.org/10.1117/12.777153
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CITATIONS
Cited by 25 scholarly publications and 4 patents.
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KEYWORDS
Hyperspectral imaging

Data conversion

Image segmentation

Clouds

Distortion

Sensors

Detection and tracking algorithms

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