research-article

3D Visualization Scene Technology and the Application for the Planning of Channel Land Consolidation

Authors:

Yachao Cui,

Li Zhang,

Ge Wen,

Yansui LiuAuthors Info & Claims

VSIP '19: Proceedings of the 2019 International Conference on Video, Signal and Image Processing

Pages 28 - 32

https://doi.org/10.1145/3369318.3369336

Published: 10 January 2020 Publication History

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Abstract

It is very important for risk reduction and the scientific and suitability planning of channel land consolidation to describe and simulate channel landform based on DEM data, and to extract quantitatively topographic slope.This paper presents a 3D visualization method for the visualization of channel model, the rendering of channel landform development characteristics and relief amplitude, the extraction of slope steepness based on DEM data, which is implemented by C++, OpenSceneGraph and QT. Finally, taking gully land consolidation of Northern Shaanxi loess plateau as an example, the implementation process and the visual effect is shown.The research can provide a decision-making basis for the planning and design of channel land consolidation.

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Chen ZXiang XZhou HHu T(2020)Data-driven Reconstruction for Massive Buildings within Urban Scenarios: A Case Study2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)10.1109/DDCLS49620.2020.9275101(982-988)Online publication date: 20-Nov-2020
https://doi.org/10.1109/DDCLS49620.2020.9275101

Index Terms

3D Visualization Scene Technology and the Application for the Planning of Channel Land Consolidation
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Virtual reality

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VSIP '19: Proceedings of the 2019 International Conference on Video, Signal and Image Processing

October 2019

135 pages

ISBN:9781450371483

DOI:10.1145/3369318

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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UNAM: Universidad Nacional Autonoma de Mexico
Wuhan Univ.: Wuhan University, China
NWPU: Northwestern Polytechnical University

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Association for Computing Machinery

New York, NY, United States

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Published: 10 January 2020

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VSIP 2019: 2019 International Conference on Video, Signal and Image Processing

October 29 - 31, 2019

Wuhan, China

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Chen ZXiang XZhou HHu T(2020)Data-driven Reconstruction for Massive Buildings within Urban Scenarios: A Case Study2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS)10.1109/DDCLS49620.2020.9275101(982-988)Online publication date: 20-Nov-2020
https://doi.org/10.1109/DDCLS49620.2020.9275101

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Using GIS to Quantify Mountains in China

The description of parcel geometry and its application in terms of land consolidation planning

A fuzzy c-means classification of elevation derivatives to extract the morphometric classification of landforms in Snowdonia, Wales

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