GPU based contouring method on grid DEM data

Tan, Liheng; Wan, Gang; Li, Feng; Chen, Xiaohui; Du, Wenlong

doi:10.1016/j.cageo.2017.05.007

Cited by 9 publications

(3 citation statements)

References 25 publications

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“…Massive raster data computation is difficult to load into a CPU, so many scholars choose to use GPU parallel computing to solve this problem. For example, Liheng Tan [21] proposed a method for the contour generation of DEM data based on a programmable GPU pipeline for a DGGS. Retief Lubbe [22] conducted an analysis of a GPU-based DEM parallel space partitioning algorithm, which provided guidance for further research in the field of GPU-based DEM collision detection and its application in geotechnical engineering.…”

Section: Gpu-based Raster Data Integration and Organizationmentioning

confidence: 99%

A GPU-Based Integration Method from Raster Data to a Hexagonal Discrete Global Grid

Zheng,

Zhou,

et al. 2024

Remote Sensing

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This paper proposes an algorithm for the conversion of raster data to hexagonal DGGSs in the GPU by redevising the encoding and decoding mechanisms. The researchers first designed a data structure based on rhombic tiles to convert the hexagonal DGGS to a texture format acceptable for GPUs, thus avoiding the irregularity of the hexagonal DGGS. Then, the encoding and decoding methods of the tile data based on space-filling curves were designed, respectively, so as to reduce the amount of data transmission from the CPU to the GPU. Finally, the researchers improved the algorithmic efficiency through thread design. To validate the above design, raster integration experiments were conducted based on the global Aster 30 m digital elevation dataDEM, and the experimental results showed that the raster integration accuracy of this algorithms was around 1 m, while its efficiency could be improved to more than 600 times that of the algorithm for integrating the raster data to the hexagonal DGGS data, executed in the CPU. Therefore, the researchers believe that this study will provide a feasible method for the efficient and stable integration of massive raster data based on a hexagonal grid, which may well support the organization of massive raster data in the field of GIS.

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Section: Gpu-based Raster Data Integration and Organizationmentioning

confidence: 99%

A GPU-Based Integration Method from Raster Data to a Hexagonal Discrete Global Grid

Zheng,

Zhou,

et al. 2024

Remote Sensing

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“…e space insertion value method [12] is usually used to transform the measured data of discrete points into continuous data surfaces and compare them with the distribution patterns of other spatial phenomena. e spatial interpolation algorithm is defined that derived from the data of known points in the same region unknown point data.…”

Section: Space Insertion Valuementioning

confidence: 99%

Spatial and Temporal Pattern Analysis of Land Use in Yangtze River Delta Based on Remote Sensing and GIS in Intelligent Environment

Zhan

et al. 2021

Advances in Civil Engineering

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Land use change plays an important role in regional socio-economic development and global environmental change. Whether the land is effectively and efficiently used is not only related to the income level of the people in the surrounding cities but also closely related to the local economy and national economy. Intelligent environment refers to the indoor environment with a variety of data acquisition equipment. Combined with related technologies, the reasoning and analysis of the data can be used to realize the functions of activity identification, data perception, and control. In addition, the Yangtze River Delta is an economically developed area in China, and its land use situation is related to the economic development in the next ten or even decades. Therefore, it is necessary to analyze the spatial and temporal pattern of land use in Yangtze River Delta region by remote sensing image technology and GIS in intelligent environment. Based on intelligent environment, this paper uses RS and GIS technology to interpret remote sensing image and map land use in multitemporal coastal zone. The land use dynamic degree model and spatial interpolation method were used to analyze and evaluate the spatial and temporal evolution characteristics of land use in the Yangtze River Delta region, and the landscape pattern changes in the Yangtze River Delta region were analyzed and evaluated. This study found that the land use types in the Yangtze River Delta have transformed each other, and the land use change speed is fast, which is inseparable from the rapid economic development. In the future, in addition to maintaining the rapid and stable development of industry, the rational use of limited land resources, the improvement of agricultural development short board, and the improvement of tourism economic benefits will make the economy of the Yangtze River Delta region to a new level.

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“…Yan et al (2015) accelerated high-accuracy surface modeling (HASM) in constructing large-scale and fine resolution DEM surfaces by the use of GPUs and applied this acceleration algorithm to simulations of both ideal Gaussian synthetic surfaces and real topographic surfaces in the loess plateau of Gansu province. Tan et al (2017) presented a novel method to generate contour lines from grid DEM data, based on the programmable GPU pipeline, that can be easily integrated into a 3D GIS system. Chen et al (2010) demonstrated a new algorithm for reconstructing contour maps from raster DEM data for digital-earth and other terrain platforms in real-time entirely based on modern GPUs and programmable pipelines.…”

Section: Introductionmentioning

confidence: 99%

Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models

Yang

et al. 2020

PeerJ Computer Science

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The building of large-scale Digital Elevation Models (DEMs) using various interpolation algorithms is one of the key issues in geographic information science. Different choices of interpolation algorithms may trigger significant differences in interpolation accuracy and computational efficiency, and a proper interpolation algorithm needs to be carefully used based on the specific characteristics of the scene of interpolation. In this paper, we comparatively investigate the performance of parallel Radial Basis Function (RBF)-based, Moving Least Square (MLS)-based, and Shepard’s interpolation algorithms for building DEMs by evaluating the influence of terrain type, raw data density, and distribution patterns on the interpolation accuracy and computational efficiency. The drawn conclusions may help select a suitable interpolation algorithm in a specific scene to build large-scale DEMs.

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GPU based contouring method on grid DEM data

Cited by 9 publications

References 25 publications

A GPU-Based Integration Method from Raster Data to a Hexagonal Discrete Global Grid

A GPU-Based Integration Method from Raster Data to a Hexagonal Discrete Global Grid

Spatial and Temporal Pattern Analysis of Land Use in Yangtze River Delta Based on Remote Sensing and GIS in Intelligent Environment

Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models

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