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Spatial Interpolation with Message Passing Framework
2019 International Conference on Data Mining Workshops (ICDMW), 2019Spatial interpolation is the task to predict a measurement for any location in a given geographical region. To train a prediction model, we assume to have point-wise measurements for various locations in the region. In addition, it is often beneficial to consider historic measurements for these locations when training an interpolation model.
Evgeniy Faerman +7 more
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Spatial interpolation of interlaced television pictures
International Conference on Acoustics, Speech, and Signal Processing, 2003The authors present a novel algorithm for spatial interpolation of 2-to-1 interlaced television pictures. The basic problem that this algorithm addresses is reconstruction of a frame from one of the fields. The algorithm is based on two spatially varying image models. It can be applied to color as well as black-and-white pictures.
Dennis Martinez, Jae S. Lim
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Surface Interpolation by Spatial Environment Graphs
2003A new algorithm for the reconstruction of surfaces from three-dimensional point clouds is presented. Its particular features are reconstruction of open surfaces with boundaries from data sets with variable density, and treatment of sharp edges, that is, locations of infinite curvature.
Robert Mencl, Heinrich Müller
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Two-channel spatial interpolation of images
Signal Processing: Image Communication, 2000Proposed is a new method for the spatial image interpolation. The proposed method interpolates the low- and high-pass filtered images in separate channels so that it can not only recreate the stationary region naturally but also preserve the edges clearly. It can be used for the image format conversion.
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Spatial Interpolation with Applications
2016Different spatial interpolation techniques are shortly discussed and applied on different precipitation series recorded in Dobrogea. We also discuss the interpolation of the parameters of AR models that describe the evolution of the annual precipitation series in the study region.
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A generalized heterogeneity model for spatial interpolation
International Journal of Geographical Information Science, 2023Liqiu Meng, Yongze Song
exaly