DocumentCode :
467769
Title :
An Ikonos Image Fusion Process using Support Value Transform
Author :
Zheng, Sheng ; Shi, Wenzhong ; Liu, Jian
Author_Institution :
China Three Gorges Univ., Yichang
Volume :
3
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
1584
Lastpage :
1589
Abstract :
Panchromatic (Pan)-sharpening of multispectral (MS) bands is an important technique in various applications of satellite remote sensing. In this paper, we apply the support value transform (SVT) to Ikonos image fusion. The fused saliency features are represented by support values and extracted by SVT. The low-resolution MS bands are resampled to the fine scale of the Pan image and sharpened by injecting the detailed features extracted from the high-resolution Pan image. The fusing results on Ikonos MS + Pan data demonstrate that the proposed image fusion method is effective and efficient.
Keywords :
geophysical signal processing; image fusion; image resolution; Ikonos image fusion process; feature extraction; image resolution; satellite remote sensing; support value transform; Cybernetics; Image fusion; Machine learning; Ikonos Image fusion; Mapped least squares support vector machine (mapped LS-SVM); support value transform (SVT);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370398
Filename :
4370398
Link To Document :
بازگشت