Research on Generalization Technology of Spatial Line Vector Data

2014 ◽  
Vol 687-691 ◽  
pp. 1153-1156
Author(s):  
Shi Qing Dou ◽  
Xiao Yu Zhang
Keyword(s):  
Spatial Data ◽  
Three Dimensional ◽  
Vector Data ◽  
Advantages And Disadvantages ◽  
3D Environment ◽  
Development Direction ◽  
The Future ◽  
2D And 3D ◽  
Data Generalization

Data simplification is an important factor of the spatial data generalization, which is an effective way to improve rendering speed. This paper firstly introduces the algorithms classification of the spatial line vector data in two-dimensional environment, and then it emphatically summarizes and analyzes the advantages and disadvantages of the algorithms which can be used in the spatial line vector data simplification in the three dimensional environment. The three-dimensional Douglas-Peucker algorithm with a certain overall characteristics has wide application prospect. The simplified algorithms in 3D environment represent the development direction of the future. But at present, the existing data simplification algorithms in 3D environment are not mature enough, they all have certain advantages and disadvantages, this makes their use is limited by a certain extent. The application of these simplified algorithms in 2D and 3D is mostly on multi-resolution expression. Developing from 2D algorithm to the direction of 3D algorithm, it also lists many works and problems that need us to do and study in the future.

scholarly journals How Can I Grab That?

i-com ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 67-85
Author(s):  
Matthias Weise ◽  
Raphael Zender ◽  
Ulrike Lucke
Keyword(s):  
Virtual Reality ◽  
User Experience ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Advantages And Disadvantages ◽  
Multiple Dimensions ◽  
Application Developers ◽  
Three Dimensional Space

AbstractThe selection and manipulation of objects in Virtual Reality face application developers with a substantial challenge as they need to ensure a seamless interaction in three-dimensional space. Assessing the advantages and disadvantages of selection and manipulation techniques in specific scenarios and regarding usability and user experience is a mandatory task to find suitable forms of interaction. In this article, we take a look at the most common issues arising in the interaction with objects in VR. We present a taxonomy allowing the classification of techniques regarding multiple dimensions. The issues are then associated with these dimensions. Furthermore, we analyze the results of a study comparing multiple selection techniques and present a tool allowing developers of VR applications to search for appropriate selection and manipulation techniques and to get scenario dependent suggestions based on the data of the executed study.

scholarly journals A Statistical Study of the Association of DRCs with Supercells and Tornadoes

2007 ◽  
Vol 22 (6) ◽  
pp. 1191-1199 ◽  
Author(s):  
Aaron Kennedy ◽  
Jerry M. Straka ◽  
Erik N. Rasmussen
Keyword(s):  
Statistical Analysis ◽  
Statistical Study ◽  
Three Dimensional ◽  
The Future ◽  
Larger Sample ◽  
Limited Usefulness

Abstract A new three-dimensional reflectivity echo in the rear flank of supercells known as the descending reflectivity core (DRC) has been documented in the literature by Rasmussen et al. The DRC is an enhanced region of reflectivity presumed to occur in the rear-flank downdraft (RFD) of a supercell. In the four cases they studied, this feature descended with time from the rear-echo overhang at 3–6 km in height into the supercell appendage. In addition, the DRC often occurred prior to tornadogenesis. The purpose of this paper is to serve as a more thorough analysis of DRCs using a larger sample of storms. The frequency of DRCs is explored within isolated supercells with persistent rear-flank appendages, and in particular at times preceding reported tornado onset in those supercells. Of the 64 supercells included within this study, 59% produced DRCs, with 30% of these DRCs occurring within 10 min prior to 5 min after tornadogenesis. This study included 89 reported tornadoes and 71 DRCs. Statistical analysis of the dataset reveals that while DRCs are sometimes associated with tornadoes, they presently have limited usefulness for tornado nowcasting. Improvements to Weather Surveillance Radar-1988 Doppler (WSR-88D) resolution and further classification of DRCs may help discriminate between tornadic and nontornadic appendages in the future, however.

scholarly journals Research on the full life cycle management of the substation Engineering based on Three-Dimensional

2020 ◽  
Vol 198 ◽  
pp. 03031
Author(s):  
Hailiang Wu ◽  
Lin Xing ◽  
Zhong Liu ◽  
Wuchen Zhang ◽  
Nan Cheng ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Life Cycle Management ◽  
Future Application ◽  
Application Development ◽  
Modern Information Technology ◽  
Whole Process ◽  
Full Life Cycle ◽  
Development Direction ◽  
The Future ◽  
Full Life

With the development of modern information technology, the three-dimensional design technology is widely applied in the substation engineering design of State Grid Corporation of China, and will run through the whole process of the power grid, effectively promoting the management of the substation engineering full life cycle.This paper analyzes the application scope of three-dimensional design in substation engineering is studied in depth, and the future application development is prospected, which provides a reference for the development direction of three-dimensional design in the future.

The Improvement of the Three Dimensional Douglas-Peucker Algorithm

2014 ◽  
Vol 926-930 ◽  
pp. 3701-3704
Author(s):  
Shi Qing Dou ◽  
Xiao Yu Zhang
Keyword(s):  
Computational Efficiency ◽  
Spatial Data ◽  
Three Dimensional ◽  
Discrete Point ◽  
Base Plane ◽  
Data Generalization

Data simplification is an important factor of the spatial data generalization. In this paper, the principle of the 3D D-P algorithm was introduced firstly, and aiming at the low computational efficiency of this algorithm, the first base plane was artificially designated instead of the loop search in the tight method, this improvement makes the computational efficiency to improve dozens of times , but the result of generalization of 3D discrete point is very similar to the generalized result by the tight method. This process was validated by experiments and this algorithm has a certain overall characteristics,therefore it has wide application prospect.

scholarly journals USE OF DISTRIBUTED DBMS FOR SPATIAL DATA PROCESSING

2020 ◽  
Vol 1 (2) ◽  
pp. 82-87
Author(s):  
Aleksey A. Kolesnikov ◽  
Elena V. Komissarova ◽  
Ivan V. Zhdanov
Keyword(s):  
Big Data ◽  
Spatial Data ◽  
Geospatial Data ◽  
Visible Range ◽  
Data Sets ◽  
Vector Data ◽  
Advantages And Disadvantages ◽  
Climate Indicators ◽  
Analytical Tools ◽  
Spatial Data Processing

Currently, data volumes are growing exponentially. Geospatial data is one of the main elements of the concept of Big data. There is a very large number of tools for analyzing Big data, but not all of them take into account the features and have the ability to process geospatial data. The article discusses three popular open analytical tools Hadoop Spatial, GeoSpark, GeoFlink for working with geospatial data of very large volumes. Their architectures, advantages and disadvantages, depending on the execution time and the amount of data used are considered. Processing evaluations were also performed in terms of both streaming and packet data. The experiments were carried out on raster and vector data sets, which are satellite imagery in the visible range, NDVI and NDWI indices, climate indicators (snow cover, precipitation intensity, surface temperature), data from the Open Street Map in the Novosibirsk and Irkutsk Regions.

scholarly journals Classification of traffic signal system anomalies for environment tests of autonomous vehicles

2018 ◽  
Vol 19 (19) ◽  
pp. 43-47 ◽  
Author(s):  
Henrietta Lengyel ◽  
Zsolt Szalay
Keyword(s):  
Autonomous Vehicles ◽  
Autonomous Systems ◽  
Traffic Sign ◽  
Traffic Signs ◽  
Advantages And Disadvantages ◽  
Sign Recognition ◽  
The Future ◽  
Computer Identification ◽  
Further Development

Abstract In the future there will be a lot of changes and development concerning autonomous transport that will affect all participants of transport. There are still difficulties in organizing transport, but with the introduction of autonomous vehicles more challenges can be expected. Recognizing and tracking horizontal and vertical signs can cause a difficulties for drivers and, later, for autonomous systems. Environmental conditions, deformity and quality affect the perception of signals. The correct recognition results in safe travelling for everyone on the roads. Traffic signs are designed for people that is why the recognition process is harder for the machines. However, nowadays some developers try to create a traffic sign that autonomous vehicles can use. Computer identification needs further development, as it is necessary to consider cases where traffic signs are deformed or not properly placed. In the following investigation, the advantages and disadvantages of the different perception methods and their possibilities were gathered. A methodology for the classification of horizontal and vertical traffic signs anomalies that may help in designing better testing and validation environments for traffic sign recognition systems in the future was also proposed.

Application of GIS Methods in Assessing Effects of Mining Activity on Surface Infrastructure/Zastosowanie Metod Gis W Ocenie Wpływu Działalności Górniczej Na Infrastrukturę Na Powierzchni

2014 ◽  
Vol 59 (2) ◽  
pp. 307-321 ◽  
Author(s):  
Jan Blachowski ◽  
Adam Chrzanowski ◽  
Anna Szostak-Chrzanowski
Keyword(s):  
Spatial Data ◽  
Three Dimensional ◽  
Mining Area ◽  
Ground Subsidence ◽  
Mathematical Functions ◽  
Vertical Displacements ◽  
Horizontal Strain ◽  
Continuous Displacement ◽  
Gis Methods

Abstract Tilt (T), curvature (K) and horizontal strain (ε) in ground subsidence troughs are the basic deformation parameters, which are used in the assessment of mining effects on surface infrastructure. The parameters can be determined from mathematical functions describing the continuous displacement field. The latter can be obtained by the least squares fitting of selected displacement functions to results of three-dimensional monitoring of horizontal and vertical displacements at discrete points. A methodology based on spatial data modelling in Geographic Information Systems (GIS) facilitates the above process as demonstrated on the example of a mining area in Canada. Polish guidelines regarding classification of mining risk categories based on the values of these parameters have been used in the example.

Volumetric Texture Analysis in Biomedical Imaging

2010 ◽  
pp. 200-248 ◽  
Author(s):  
Constantino Carlos Reyes-Aldasoro ◽  
Abhir Bhalerao
Keyword(s):  
Texture Analysis ◽  
Three Dimensional ◽  
Cell Populations ◽  
Visual Monitoring ◽  
Advantages And Disadvantages ◽  
Quantitative Examination ◽  
Qualitative Observation ◽  
Volumetric Texture ◽  
Texture Extraction

In recent years, the development of new and powerful image acquisition techniques has lead to a shift from purely qualitative observation of biomedical images towards more a quantitative examination of the data, which linked with statistical analysis and mathematical modeling has provided more interesting and solid results than the purely visual monitoring of an experiment. The resolution of the imaging equipment has increased considerably and the data provided in many cases is not just a simple image, but a three-dimensional volume. Texture provides interesting information that can characterize anatomical regions or cell populations whose intensities may not be different enough to discriminate between them. This chapter presents a tutorial on volumetric texture analysis. The chapter begins with different definitions of texture together with a literature review focused on the medical and biological applications of texture. A review of texture extraction techniques follows, with a special emphasis on the analysis of volumetric data and examples to visualize the techniques. By the end of the chapter, a review of advantages and disadvantages of all techniques is presented together with some important considerations regarding the classification of the measurement space.

scholarly journals Ultrasound imaging and segmentation of bone surfaces: A review

TECHNOLOGY ◽  
2017 ◽  
Vol 05 (02) ◽  
pp. 74-80 ◽  
Author(s):  
Ilker Hacihaliloglu
Keyword(s):  
3D Imaging ◽  
Signal To Noise Ratio ◽  
Imaging Modality ◽  
Three Dimensional ◽  
Orthopedic Procedures ◽  
Bone Segmentation ◽  
Future Directions ◽  
Imaging Artifacts ◽  
2D And 3D

Due to its real-time, non-radiation based three-dimensional (3D) imaging capabilities, ultrasound (US) has been incorporated into various orthopedic procedures. However, imaging artifacts, low signal-to-noise ratio (SNR) and bone boundaries appearing several mm in thickness make the analysis of US data difficult. This paper provides a review about the state-of-the-art bone segmentation and enhancement methods developed for two-dimensional (2D) and 3D US data. First, an overview for the appearance of bone surface response in B-mode data is presented. Then, classification of the proposed techniques in terms of the image information being used is provided. Specifically, the focus is given on segmentation and enhancement of B-mode US data. The review is concluded by discussing future directions of research and additional challenges which need to be overcome in order to make this imaging modality more successful in orthopedics.

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