Local curvature entropy-based 3D terrain representation using a comprehensive Quadtree

Chen, Qiyu; Ma, Xiaogang; Mariethoz, Grégoire; He, Zhenwen; Tian, Yuan; Weng, Zhengping

doi:10.1016/j.isprsjprs.2018.03.001

Cited by 28 publications

(7 citation statements)

References 48 publications

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“…First, digitized geospatial data are to be collected in the real city. Second, the digitized data must be generated in a tile unit with level-of-detail (LOD) on the basis of the quadtree structure [ 33 ]. All the 3-D data must then be transformed as per the proposed coordinate systems, as shown in Figure 8 .…”

Section: Discussionmentioning

confidence: 99%

Planetary-Scale Geospatial Open Platform Based on the Unity3D Environment

Lee

Chang

Jang

2020

Sensors

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Digital tw,64’#1win technology based on building a virtual digital city similar to a real one enables the simulation of urban phenomena or the design of a city. A geospatial platform is an essential supporting component of digital twin cities. In this study, we propose a planetary-scale geospatial open platform that can be used easily in the most widely used game engine environment. The proposed platform can visualize large-capacity geospatial data in real time because it organizes and manages various types of data based on quadtree tiles. The proposed rendering tile decision method provides constant geospatial data visualization according to the camera controls of the user. The platform implemented is based on Unity3D, and therefore, one can use it easily by importing the proposed asset library. The proposed geospatial platform is available on the Asset Store. We believe that the proposed platform can meet the needs of various three-dimensional (3-D) geospatial applications.

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Section: Discussionmentioning

confidence: 99%

Planetary-Scale Geospatial Open Platform Based on the Unity3D Environment

Lee

Chang

Jang

2020

Sensors

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“…In the case of massive 3D data, the effect of the above optimization is more obvious. At present, methods such as improving quadtree [2][3][4][5][6][7][8], octree, KD tree, and threedimensional R tree are commonly used or combined (referenced) to organize construction and scheduling.…”

Section: Introductionmentioning

confidence: 99%

A Fast Scheduling Method for Massive Oblique Photography 3D Models

Chen

et al. 2022

Wireless Communications and Mobile Computing

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In view of the large amount of oblique photography 3D model data and the fact that high-performance hardware devices cannot load and render massive oblique photography 3D models at one time, this paper provides a fast scheduling method for massive oblique photography 3D models: get the tile radius, side length, scheduling range, and other parameters from the original data, normalize the original tile to a hundred grid, use a regular grid + quadtree + hexadecimal tree to build a tile spatial index, resample the tile data at each level to generate the elevation model DEM and the real radiographic image TDOM, and use the DEM+TDOM method to reconstruct the layered and block top-level 3D model to achieve rapid scheduling and rendering of massive oblique photography 3D models. Experiments show that the method is efficient and feasible and can meet the visualization and real-time interaction requirements of massive urban 3D models.

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“…Cloud computing technology, NoSQL, and distributed database cluster technology may bring new solutions to overcome these problems for geological big data [25,26]. The establishment of geochemical databases in big data environments aims at innovating data storage structures and spatial index methods to store and analyze data efficiently at minimum cost.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Study of Geochemical Data Storage Performance Based on Different Management Methods

et al. 2021

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The spatial calculation of vector data is crucial for geochemical analysis in geological big data. However, large volumes of geochemical data make for inefficient management. Therefore, this study proposed a shapefile storage method based on MongoDB in GeoJSON form (SSMG) and a shapefile storage method based on PostgreSQL with open location code (OLC) geocoding (SSPOG) to solve the problem of low efficiency of electronic form management. The SSMG method consists of a JSONification tier and a cloud storage tier, while the SSPOG method consists of a geocoding tier, an extension tier, and a storage tier. Using MongoDB and PostgreSQL as databases, this study achieved two different types of high-throughput and high-efficiency methods for geochemical data storage and retrieval. Xinjiang, the largest province in China, was selected as the study area in which to test the proposed methods. Using geochemical data from shapefile as a data source, several experiments were performed to improve geochemical data storage efficiency and achieve efficient retrieval. The SSMG and SSPOG methods can be applied to improve geochemical data storage using different architectures, so as to achieve management of geochemical data organization in an efficient way, through time consumed and data compression ratio (DCR), in order to better support geological big data. The purpose of this study was to find ways to build a storage method that can improve the speed of geochemical data insertion and retrieval by using excellent big data technology to help us efficiently solve problem of geochemical data preprocessing and provide support for geochemical analysis.

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Local curvature entropy-based 3D terrain representation using a comprehensive Quadtree

Cited by 28 publications

References 48 publications

Planetary-Scale Geospatial Open Platform Based on the Unity3D Environment

Planetary-Scale Geospatial Open Platform Based on the Unity3D Environment

A Fast Scheduling Method for Massive Oblique Photography 3D Models

A Comprehensive Study of Geochemical Data Storage Performance Based on Different Management Methods

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