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An Efficient Tile-Pyramids Building Method for Fast Visualization of Massive Geospatial Raster DatasetsGUO, N. , XIONG, W. , WU, Q. , JING, N.
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geographic information systems, indexing, parallel algorithms, spatial resolution, tiles
visualization(11), terrain(10), tile(5), rendering(5), information(5), data(5), graphics(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04001
Web of Science Accession Number: 000390675900001
SCOPUS ID: 85007576472
Building tile-pyramids is an effective way for publishing and accessing the map visualization service of large-scale geospatial data in the web. But it is a time-consuming task in Geographic Information System (GIS) to build tile-pyramids using traditional methods. In this article, an adaptive multilevel tiles generation method is proposed, which first builds grid index for the geospatial raster dataset, and then generates tiles according to different hierarchy level numbers in the tile-pyramid. With the optimized map rendering engine implemented, a parallel tiles pyramid generation method for large-scale geospatial raster dataset is integrated into a high performance GIS platform. Proved by experiments, the new method shows acceptable applicability, stability and scalability besides its high efficiency.
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 A Fast Tile-Pyramid Construction Algorithm Based on Multilevel Task Parallelism, Liu, Haozheng, Wu, Ye, Jing, Ning, Feng, Shihao, IOP Conference Series: Earth and Environmental Science, ISSN 1755-1307, Issue 1, Volume 513, 2020.
Digital Object Identifier: 10.1088/1755-1315/513/1/012056 [CrossRef]
 A Display Method of Large Underwater Photo-Mosaics Based on Pyramid Model of Tiled Images, Liu, Nannan, Li, Xiaoming, 2021 International Conference on Computer Communication and Artificial Intelligence (CCAI), ISBN 978-1-7281-9401-1, 2021.
Digital Object Identifier: 10.1109/CCAI50917.2021.9447465 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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