A fast two-level grid index algorithm for common edge extraction in vector data compression
In this paper, a fast common edge extraction method based on a two-level grid indexing strategy was proposed for eliminating the common edge 'cracks'. A coarse-grained first-level grid index was firstly built which maps each polygon with its intersecting polygons in the graphics set; secon...
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Published in | Journal of spatial science Vol. 68; no. 4; pp. 759 - 773 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis
02.10.2023
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Subjects | |
Online Access | Get full text |
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Summary: | In this paper, a fast common edge extraction method based on a two-level grid indexing strategy was proposed for eliminating the common edge 'cracks'. A coarse-grained first-level grid index was firstly built which maps each polygon with its intersecting polygons in the graphics set; secondly, a fine-grained second-level grid index is established linking each grid cell with the vertices falling into the cell, which can be used to quickly find the common points shared by intersecting polygons. The common edge 'cracks' problem can be solved if the deleted common points are consistent on two adjacent graphics during compression. |
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ISSN: | 1449-8596 1836-5655 |
DOI: | 10.1080/14498596.2022.2150702 |