Minimum removal and maximum normalization of VNIR hyperspectral image for shade and specular invariance

Sungho Kim; Heekang Kim

doi:10.1117/12.2225564

17 May 2016 Minimum removal and maximum normalization of VNIR hyperspectral image for shade and specular invariance

Sungho Kim, Heekang Kim

Proceedings Volume 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII; 98401Z (2016) https://doi.org/10.1117/12.2225564
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Sungho Kim and Heekang Kim "Minimum removal and maximum normalization of VNIR hyperspectral image for shade and specular invariance", Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, 98401Z (17 May 2016); https://doi.org/10.1117/12.2225564

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