Study on Semantic Contrast Evaluation Based on Vector and Raster Data Patch Generalization
We used buffer superposition, Delaunay triangulation skeleton line, and other methods to achieve the aggregation and amalgamation of the vector data, adopted the method of combining mathematical morphology and cellular automata to achieve the patch generalization of the raster data, and selected the...
Saved in:
Main Authors: | Jun Yang, Yuechen Li, Jianchao Xi, Chuang Li, Fuding Xie |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/746094 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lens Raster as a Source of Distortions in Integral Photography
by: E. G. Zaytseva, et al.
Published: (2018-12-01) -
Soil erosion susceptibility maps and raster dataset for the hydrological basins of North Africa
by: Adil Salhi, et al.
Published: (2025-01-01) -
Finding a model for contrastive lexical semantics: A look at verbal communication verbs
by: Åke Viberg
Published: (2017-12-01) -
Contrasting vector competence of three main East African Anopheles malaria vector mosquitoes for Plasmodium falciparum
by: Prisca A. Kweyamba, et al.
Published: (2025-01-01) -
Artificial Intelligence and Data Mining 2014
by: Fuding Xie, et al.
Published: (2014-01-01)