DocumentCode :
2140355
Title :
New technologies for improving spatial resolution of satellite images
Author :
Li, Yifeng ; Lampropoulos, George A. ; Qian, Shen-En
Author_Institution :
A.U.G. Signals Ltd., Toronto, Ont., Canada
Volume :
6
fYear :
2002
fDate :
2002
Firstpage :
3326
Abstract :
In this paper, the results of different image fusion schemes for pixel level fusion and image super-resolution reconstruction algorithm are presented. A new method that performs enhancements in the spatial resolution is employed. It has the following unique features: (a) higher ability of improving image spatial resolution (b) increased reduction of pixel uncertainties due to calibration errors through a new adaptive filtering technique, and (c) improved reduction of the blurring through a new blur estimation and super-resolution restoration that employs cross-validation for regularization. Tradeoff studies with other state of the art spatial resolution enhancement algorithms are presented.
Keywords :
adaptive filters; geophysical signal processing; image enhancement; image resolution; image restoration; remote sensing; sensor fusion; adaptive filtering technique; blur estimation; blurring; calibration errors; enhancements; image fusion schemes; image super-resolution reconstruction algorithm; pixel level fusion; pixel uncertainties; regularization; satellite images; spatial resolution; super-resolution restoration; Adaptive filters; Calibration; Image fusion; Image resolution; Image restoration; Pixel; Reconstruction algorithms; Satellites; Spatial resolution; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1027171
Filename :
1027171
Link To Document :
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