@inproceedings{700b66a595e049c38e53caae4a0034d7,
title = "Multiresolution visualization of digital earth data via hexagonal box-spline wavelets",
abstract = "Multiresolution analysis is an important tool for exploring large-scale data sets. Such analysis provides facilities to visualize data at different levels of detail while providing the advantages of efficient data compression and transmission. In this work, an approach is presented to apply multiresolution analysis to digital Earth data where each resolution describes data at a specific level of detail. Geospatial data at a fine level is taken as the input and a hierarchy of approximation and detail coefficients is built by applying a hexagonal discrete wavelet transform. Multiresolution filters are designed for hexagonal cells based on the three directional linear box spline which is natively supported by modern GPUs.",
keywords = "Multiresolution analysis, digital earth data, hexagonal grid, linear box-spline",
author = "Jubair, \{Mohammad Imrul\} and Usman Alim and Niklas Roeber and John Clyne and Ali Mahdavi-Amiri and Faramarz Samavati",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Scientific Visualization Conference, SciVis 2015 ; Conference date: 25-10-2015 Through 30-10-2015",
year = "2016",
month = mar,
day = "8",
doi = "10.1109/SciVis.2015.7429508",
language = "English",
series = "2015 IEEE Scientific Visualization Conference, SciVis 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "151--152",
editor = "James Ahrens and Huamin Qu and Jos Roerdink",
booktitle = "2015 IEEE Scientific Visualization Conference, SciVis 2015 - Proceedings",
address = "United States",
}