Title :
Automated target detection using K-means based on Per-Norm for invariant illumination in hyperspectral image
Author :
Heekang Kim;Sungho Kim
Author_Institution :
Department of Electronic Engineering, Yeungnam University, Deahak-ro 280, Gyungsan-si, Gyeongbuk 712-449, Korea
Abstract :
When detecting target in hyperspectral images, the same material shows different spectral information, because there are variety spectral intensity by shadow, shading and highlight. This paper proposes more effective spectral normalization than the traditional spectral normalization and target detection using Per-Norm.
Keywords :
"Hyperspectral imaging","Object detection","Lighting","Classification algorithms","Yttrium","Clustering algorithms"
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
DOI :
10.1109/URAI.2015.7358832