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Proceedings Paper

Minimum removal and maximum normalization of VNIR hyperspectral image for shade and specular invariance
Author(s): Sungho Kim; Heekang Kim
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Paper Abstract

A novel hyperspectral image normalization method was developed to make the hyperspectral profile invariant to illumination. The well-known band-ratio method shows unstable spectral profile to shades and highlights. The proposed minimum removal and maximum normalization method is simple but can reduce the spectral variations caused by shades and high-lights effectively, which leads to enhanced abnormal region detection performance in VNIR hyperspectral images.

Paper Details

Date Published: 17 May 2016
PDF: 6 pages
Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 98401Z (17 May 2016); doi: 10.1117/12.2225564
Show Author Affiliations
Sungho Kim, Yeungnam Univ. (Korea, Republic of)
Heekang Kim, Yeungnam Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9840:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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