loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth IEEE International Conference on Computer and Information Technology (CIT'06)
Spectral Content Characterization for Efficient Image Detection Algorithm Design
Seoul, Korea
September 20-September 22
ISBN: 0-7695-2687-X
ASCII Text
x 
 
Kyoung-Su Park, Sangjin Hong, Peom Park, "Spectral Content Characterization for Efficient Image Detection Algorithm Design," Computer and Information Technology, International Conference on, pp. 137, Sixth IEEE International Conference on Computer and Information Technology (CIT'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/CIT.2006.168,
author = {Kyoung-Su Park and Sangjin Hong and Peom Park},
title = {Spectral Content Characterization for Efficient Image Detection Algorithm Design},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2687-X},
pages = {137},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2006.168},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Spectral Content Characterization for Efficient Image Detection Algorithm Design
SN - 0-7695-2687-X
SP
EP
A1 - Kyoung-Su Park,
A1 - Sangjin Hong,
A1 - Peom Park,
PY - 2006
KW - null
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Kyoung-Su Park, Stony Brook University - SUNY, USA
Sangjin Hong, Stony Brook University - SUNY, USA
Peom Park, Ajou University/Humintec Co. Ltd, Korea
This paper presents spectral characterization for efficient image detection using hyperspectral processing technique. We investigate relationship between the number of bands used in the detection so that the minimum number of bands are used in the processing. This approach reduces computation and implementation complexity of the algorithms. Specifically, we considered contribution coefficient by each band and based on this coefficient, we heuristically select the bands for processing. We have shown that for effective detection, only small number of bands are needed.
Citation:
Kyoung-Su Park, Sangjin Hong, Peom Park, "Spectral Content Characterization for Efficient Image Detection Algorithm Design," cit, pp.137, Sixth IEEE International Conference on Computer and Information Technology (CIT'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.