DocumentCode :
3713660
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
fYear :
2015
Firstpage :
570
Lastpage :
572
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"
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
Type :
conf
DOI :
10.1109/URAI.2015.7358832
Filename :
7358832
Link To Document :
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