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