Results 11 to 20 of about 1,078,281 (196)

Optimizing Spatial Databases [PDF]

open access: yesSSRN Electronic Journal, 2011
This paper describes the best way to improve the optimization of spatial databases: through spatial indexes. The most commune and utilized spatial indexes are R-tree and Quadtree and they are presented, analyzed and compared in this paper. Also there are given a few examples of queries that run in Oracle Spatial and are being supported by an R-tree ...
Anda VELICANU, Ştefan OLARU
openaire   +4 more sources

Research on Planar Mosaic Method for Colored Textures of Regularly Symmetric Jar-type Cultural Relics [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The use of stitching methods to obtain side view unfolded images of jar-shaped cultural relics with regular symmetrical shapes is of great significance for the digital presentation of cultural heritage.
X. Yuan, Y. Hu
doaj   +1 more source

Representation and Reasoning for Model of 3DR46 in Complex 3D Space

open access: yesJisuanji kexue yu tansuo, 2020
To remedy the deficiency of the existing methods on 3D direction relations, the 3DR46 direction relations model is proposed. The model can represent and distinguish 246 complex 3D direction relations. To process the dynamic of 3D direction relations, the
HAO Xiaohong, LI Song, HAO Zhongxiao
doaj   +1 more source

W42 - a scalable spatial database system for holding Digital Elevation Models [PDF]

open access: yes, 2009
The design of a scalable system for holding spatial data in general and digital elevation models (DEMs) in specific has to account for the characteristics of data from various application fields.
Habermeyer, Martin   +2 more
core   +1 more source

A Framework for Cartographic Representation of Archaeological Sites under the Digital Humanities Perspective [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study is based on the intersection of digital humanities and archaeological geography, and aims to construct a multidimensional classification system (value dimension, spatial form, cultural connotation) that integrates ontology and phenomenological
D. Xie, Y. Hu
doaj   +1 more source

Two-Phase Oblique Photogrammetric Model for Automated Change Detection in Railroad Slopes [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Railroad slope detection is crucial for railroad inspection. However, traditional stability detection methods face challenges such as high costs, subjectivity, and reliance on prior information.
X. Zhu, M. Huang, M. Huang, L. Wang
doaj   +1 more source

Optimization of Spatial Joins Using Filters [PDF]

open access: yes, 1995
When viewing present-day technical applications that rely on the use of database systems, one notices that new techniques must be integrated in database management systems to be able to support these applications efficiently.
Apers, P.M.G.   +2 more
core   +5 more sources

Efficient Processing of Spatial Joins Using R-Trees [PDF]

open access: yes, 1993
: In this paper, we show that spatial joins are very suitable to be processed on a parallel hardware platform. The parallel system is equipped with a so-called shared virtual memory which is well-suited for the design and implementation of parallel ...
Becker L. A.   +10 more
core   +4 more sources

A Multi-Level Grid Database for Protecting and Sharing Historical Geographic Urban Data: A Case Study of Shanghai

open access: yesISPRS International Journal of Geo-Information, 2023
Historical geographic data play an important supporting role in the study of long-term geographic studies, such as climate change, urban expansion and land-use and land-cover change.
Shuang Li
doaj   +1 more source

Spectral pre-modulation of training examples enhances the spatial resolution of the Phase Extraction Neural Network (PhENN) [PDF]

open access: yes, 2018
The Phase Extraction Neural Network (PhENN) is a computational architecture, based on deep machine learning, for lens-less quantitative phase retrieval from raw intensity data.
Barbastathis, George, Li, Shuai
core   +2 more sources

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