3D Scene Modeling and Rendering Algorithm Based on Road Extraction of Simple Attribute Remote Sensing Image

DOI

10.2991/cmsa-18.2018.4How to use a DOI?

Keywords

remote sensing image; road extraction; multi-resolution terrain; modeling rendering

Abstract

In order to solve the problem of modeling and rendering of large data scene, this paper presents a fast method for modeling and rendering multi-level, multi-resolution road based on the road information extraction of simple attribute remote sensing image. Firstly, Fuzzy C-means Clustering (FCM), Bwareaopen, Mathematical Morphology and Markov Random Field (MRF) road extraction methods are used to extract the road skeleton information and road center control points of satellite remote sensing images. Then, the cubic B-spline curve function is used to fit the control information of the road center into the central line of the road. Finally, according to the terrain resolution levels, we will rebuilt the road model, which is rendered at multiple levels through the terrain resolution level by modifying the terrain data to achieve the effect of long-distance fuzzy and close-distance clearness. Experiments show that this method can realize the modeling and rendering of large data scenes effectively and vividly.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiguang Wang
AU  - Haiying Zhang
AU  - Qiang Lu
AU  - Yuanfeng Lian
PY  - 2018/04
DA  - 2018/04
TI  - 3D Scene Modeling and Rendering Algorithm Based on Road Extraction of Simple Attribute Remote Sensing Image
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 12
EP  - 15
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.4
DO  - 10.2991/cmsa-18.2018.4
ID  - Wang2018/04
ER  -