Rupture terrain characteristic extraction from DEM based on variable-scale grads

Jianliang Ou; Feng Bao; Weian Wang

doi:10.1117/12.761912

25 July 2007 Rupture terrain characteristic extraction from DEM based on variable-scale grads

Jianliang Ou, Feng Bao, Weian Wang

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 675326 (2007) https://doi.org/10.1117/12.761912
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

DEM (Digital Elevation Model) is a commonest basic data in different geospatial applications. It is one of the fundamental issues for geo-science to extract the different kinds of terrain's waving characteristic in DEM self-adaptively and automatically. This paper presented our research on the basic mathematical model for rupture terrain characteristic extraction with variable-scale method. After the rupture edge characteristic point is obtained, the irregular line of rupture edge is generated in Terrain Characteristic Hypergraph Relationship (TCHR) ^[1] method, then combined into rupture's region object. Through experiment about submarine grid DEM, the comprehensive terrain characteristic of rupture can be obtained accurately and effectively, and its result matched the submarine terrain precisely.

Citation Download Citation

Jianliang Ou, Feng Bao, and Weian Wang "Rupture terrain characteristic extraction from DEM based on variable-scale grads", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 675326 (25 July 2007); https://doi.org/10.1117/12.761912

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