Multiscale Interpolation
Multiscale Interpolation is a spatial interpolation method that integrates data and variability across multiple spatial scales to improve prediction accuracy by accounting for scale-dependent patterns and processes in the underlying spatial field.
32
Publications
1.3K
Citations
88
Authors
64
Institutions
Publications per year
2017–2026
9
32
Image interpolation using wavelet based hidden Markov trees
K. Kinebuchi, D.D. Muresan, T.W. Parks · 2002 · 107 citations
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Istituto di Matematica Applicata e Tecnologie Informatiche
Pavia, Italy
3 h-index
4 publications
77 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
170 citations

Research Triangle Park Foundation
Durham, United States
2 h-index
2 publications
60 citations
University of California, Davis
Davis, United States
2 h-index
4 publications
78 citations

York University
Toronto, Canada
2 h-index
2 publications
99 citations
Texas A&M University
College Station, United States
2 h-index
4 publications
90 citations

University of Milano-Bicocca
Milan, Italy
2 h-index
4 publications
82 citations
Universitätsmedizin Göttingen
Göttingen, Germany
2 h-index
2 publications
41 citations
1–8 of 64
3 publications · 136 citations
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3 publications · 122 citations
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2 publications · 31 citations
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2 publications · 142 citations
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2 publications · 41 citations
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