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International Conference on Statistics, Combinatorics and Related Areas - 7th International Conference of the Forum for Interdisciplinary Mathematics
December 19-21, 2000
Indian Institute of Technology-Bombay
Mumbai, Maharastra, India

Organizers
Satya N. Mishra (University of South Alabama), Sanjeev V. Sabnis (IIT, Bombay)

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Multivariate image-enhancement by cokriging
by
Yoji Morisaki
Graduate School of Engineering, Hiroshima University, JAPAN
Coauthors: Ryuei Nishii (Faculty of Integrated Arts and Sciences, Hiroshima University)

We consider a prediction method based on cokriging for producing multivariate high-resolution imagery. It is assumed that sets of multivariate data with different spatial resolutions are observed at the same rectangular region such as imagery from satellites. The data with low resolution are corrected by the data with high resolution through cokriging method. In this approach, we assume the ordinary covariance structure in cokriging as well as a simple structure called the intrinsic correlation model. Our predictors are applied to the fusion of the multiresolution imaging data from the satellite Landsat. It is seen that they show an excellent performance in comparison with the method in the literature.

Date received: October 13, 2000

Copyright © 2000 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cafr-38.