Wavelet Representations and Their Application to the Modeling, Compression and Reduction of Spatial Data
نویسنده
چکیده
We describe how wavelet representations can be used to efficiently model large spatial data sets, including 3D data on irregular grids. The main advantage of such representations is that they produce a multilevel structure, which allows us to prioritize the information content of the data set. We discuss three specific application areas: data compression, dimension reduction, and the problem of fitting curves and surfaces to data, and we present results that demonstrate the effectiveness of wavelet representations in these application areas.
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