Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Wanfeng Dou"'
Autor:
Qiuling Tang, Wanfeng Dou
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 7, p 287 (2023)
Calculating the least-cost path (LCP) is a fundamental operation in raster-based geographic information systems (GIS). The LCP is applied to raster cost surfaces, in which it determines the most cost-effective path. Increasing the raster resolution r
Externí odkaz:
https://doaj.org/article/1b141f94b12a441dbee2a89ff6453efc
Autor:
Haozhe Cheng, Wanfeng Dou
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 10, p 506 (2022)
Terrain viewshed analysis based on the digital elevation model (DEM) is of significant application value. A lot of viewshed analysis algorithms have been proposed, including R3 as the accurate one and others as efficient ones. The R3 algorithm is acc
Externí odkaz:
https://doaj.org/article/8f315e95bfa4497c9a71358028716b16
Autor:
Wanfeng Dou, Shoushuai Miao
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 12 (2018)
With the rapid increase of spatial data resolution, the huge volume of datasets makes geo-computation more time-consuming especially when operating some complex algorithms, i.e. viewshed analysis and drainage network extraction in digital terrain ana
Externí odkaz:
https://doaj.org/article/98ea30b59822491ba286c48ae699e664
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 10 (2016)
In recent years, the research of parallel digital terrain analysis has become a hot spot. Using parallel computing technology to solve data-intensive computing problems has become a new trend in digital terrain analysis (DTA). On the other hand, with
Externí odkaz:
https://doaj.org/article/b20835b6cc934f4dbd0cc052b7ab5994
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 9 (2015)
Parallel computing of the intensive data is one of the effective methods to improve high-performance computation of massive data. The purpose of this paper is to study the method of data partitioning and scheduling which is geared to the strategy of
Externí odkaz:
https://doaj.org/article/f7f1cf308d8e4b80a4da1559bea88b11
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 8 (2014)
In recent years, due to the increasing calculation demands for the massive spatial data analysis, the parallel computing based on high-performance computers has become an inevitable trend of geospatial raster data processing, such as digital terrain
Externí odkaz:
https://doaj.org/article/8180a8dbd9b74707bc94f1d5545efa12
Operation Command Transformation of Synchronized Collaborative Design upon Heterogeneous CAD Systems
Autor:
Wanfeng Dou, Xiaodong Song
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 7 (2013)
Operation command transformation is one of key technologies of the synchronized collaborative design upon heterogeneous CAD systems and becomes a significant challenge because of the great difference in the modeling operations and underground data st
Externí odkaz:
https://doaj.org/article/aa20de08cf67410bae1875d5bcd36e19
Publikováno v:
Journal of Algorithms & Computational Technology, Vol 5 (2011)
The synchronized collaborative design within heterogeneous CAD systems becomes a significant challenge because of the great difference in the modeling operations and underground data structures between different CAD systems. This paper first proposes
Externí odkaz:
https://doaj.org/article/743b924e1b92490cb8b13cfb19ca84d5
Terrain feature extraction is one of the critical issues in geographic information science. As important terrain feature lines, ridge lines and valley lines, play an important role in hydrological analysis, terrain reconstruction and automatic integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a507873be5bf09c0ee6512e84778d714
https://doi.org/10.21203/rs.3.rs-2054890/v1
https://doi.org/10.21203/rs.3.rs-2054890/v1
Publikováno v:
2021 20th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES).