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Multiresolution Volume Rendering Technology For Massive Seismic Data Based On Binary Tree

Posted on:2020-04-15Degree:MasterType:Thesis
Country:ChinaCandidate:Z J HouFull Text:PDF
GTID:2370330575978332Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the rapid development of computer graphics,volume rendering technology has also been greatly developed.Volume rendering technology can express the internal characteristics of data body in the way of two-dimensional images,which makes the processing of volume data more convenient and intuitive.Because of this characteristic,volume rendering technology is widely used in seismic exploration,human medicine,urban rules and 3D game scene development and many other fields.In order to satisfy the visual effect,the requirement of volume data resolution is becoming higher and higher.The data scale of volume data is also growing,but the development speed of computer hardware can not meet the increasing demand of data volume.For the above situation,a multi-resolution volume rendering method has been proposed to solve the problem of large-scale volume data rendering.On the basis of these,this paper does some research on multi-resolution volume rendering,and improves some of the methods.The rendering efficiency of massive data has been improved to some extent.(1)For large-scale three-dimensional seismic data,a binary tree spatial index method is proposed to segment seismic data.In order to improve the speed of volume rendering,multi-resolution data interaction is used in volume rendering.This method can not affect the characteristics of seismic data,and in the case of limited computer memory,it can complete the large-scale seismic data rendering well.(2)In this paper,the types of interested objects and the extraction methods of three-dimensional seismic data are discussed.The significance of volume rendering lies in object extraction.Through this technology,geoscientists can get important features and information of volume data.Using spatial index of binary tree to process and segment massive seismic data will lead to cuboid shape when two binary trees of the same level merge,which will affect the efficiency of rendering.
Keywords/Search Tags:Multi-resolution Volume Rendering, Binary Tree, Spatial Index, Big Data Technology, Volume Rendering
PDF Full Text Request
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