DocumentCode
2140392
Title
Efficient interpolation of large image sequences
Author
Khellah, F.M. ; Fieguth, P.W.
Author_Institution
Waterloo Univ., Ont., Canada
Volume
6
fYear
2002
fDate
2002
Firstpage
3332
Abstract
Dynamic estimation of large-scale remote-sensing image sequences is important in a variety of scientific applications. However, the growing size of such sensed images makes conventional dynamic estimation methods, for example the Kalman and related filters, impractical. In this paper we present an approach that emulates the Kalman filter, but with considerably reduced computational and storage requirements. Our approach is illustrated in the context of a large (512×512) image sequence of ocean surface temperature.
Keywords
Kalman filters; geophysical signal processing; image sequences; interpolation; oceanographic techniques; remote sensing; Kalman filter; dynamic estimation; interpolation; large image sequences; large-scale remote-sensing image sequences; ocean surface temperature; remote sensing; Covariance matrix; Estimation error; Image sequences; Image storage; Interpolation; Kalman filters; Large-scale systems; Motion estimation; Ocean temperature; Sea measurements;
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.2002.1027173
Filename
1027173
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