Generation method of 3D terrain object with VWorld data

Ahyun Lee; Insung Jang

doi:10.1117/12.2521537

17 April 2019 Generation method of 3D terrain object with VWorld data

Ahyun Lee, Insung Jang

Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 110710N (2019) https://doi.org/10.1117/12.2521537
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore

Abstract

The VWorld Data Center of South Korea provides the latest high-definition 3D national spatial information. In this paper, we propose a 3D terrain object generation method using VWorld data. A tile-based 3D map has gap problems when elevation change is large like mountainous terrain. Since different level tiles are adjacent to each other, the elevation of boundary of tiles does not match, resulting in empty space or the border area are exposed between tiles. Our proposed method considering the characteristics of tiles provided by VWorld Data Center enable to minimize gaps between tiles. We enable to minimize gap problems by making the size of the outer cell equal to the adjacent high-level tile. We describe the 3D terrain generation method and experimental results. The proposed method could be used on other tile-based 3D map platforms.

Citation Download Citation

Ahyun Lee and Insung Jang "Generation method of 3D terrain object with VWorld data", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710N (17 April 2019); https://doi.org/10.1117/12.2521537

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available