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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
A Remote Sensing Image Fusion Algorithm Based on Ordinal Fast Independent Component Analysis
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
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Zhongni Wang, Xianchuan Yu, Libao Zhang, "A Remote Sensing Image Fusion Algorithm Based on Ordinal Fast Independent Component Analysis," International Workshop on Knowledge Discovery and Data Mining, pp. 142-145, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.41,
author = {Zhongni Wang and Xianchuan Yu and Libao Zhang},
title = {A Remote Sensing Image Fusion Algorithm Based on Ordinal Fast Independent Component Analysis},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {142-145},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.41},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - A Remote Sensing Image Fusion Algorithm Based on Ordinal Fast Independent Component Analysis
SN - 0-7695-3090-7
SP142
EP145
A1 - Zhongni Wang,
A1 - Xianchuan Yu,
A1 - Libao Zhang,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
Data fusion on remote sensing is hot in current image processing. A new approach, that is the ordinal fast independent component analysis for remote image fusion between Landsat ETM+ panchromatic and CBERS multi-spectral images, is proposed to eliminate high-order image data redundancy for two different Remote sensing images. The independent components are done factor analysis, and then the fused image is obtained by applying image fusion rule. Visual and statistical analysis proves that the concept of fusion based on the ordinal fast independent component analysis is promising, and it significantly increases the signal-to-noise ratio and improves the fusion quality.
Citation:
Zhongni Wang, Xianchuan Yu, Libao Zhang, "A Remote Sensing Image Fusion Algorithm Based on Ordinal Fast Independent Component Analysis," wkdd, pp.142-145, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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