Construction of comprehensive metric model of terrain texture and analysis of regional features

Lin Zhang; Hongchun Zhu; Yuexue Xu; Changyu Hu; Kai Tang

doi:10.1117/12.2634551

12 May 2022 Construction of comprehensive metric model of terrain texture and analysis of regional features

Lin Zhang, Hongchun Zhu, Yuexue Xu, Changyu Hu, Kai Tang

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731P (2022) https://doi.org/10.1117/12.2634551
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

Terrain texture attributes are an important means to characterize different types of landform units. The combination of geomorphic units reflects the spatial distribution pattern of regional geomorphic features. Therefore, the analysis of terrain texture significance and variability is a key link in the study of regional geomorphological features. In the process of extracting and analyzing regional geomorphological features, traditional analysis methods of macroscopic and microscopic morphological indicators rely on window areas and calculation models. Although the morphological feature element analysis method can reveal the basic pattern of regional geomorphology, it is aimed at the spatial change structure of terrain elements. In order to grasp the overall and local hierarchical structure characteristics of regional geomorphology, we propose a comprehensive metric model of terrain texture based on texture feature entropy weight method in this paper. Nine single geomorphological research areas were selected to carry out experimental research in Shaanxi Province, China. The results show that the regional characteristics mapped by the comprehensive metric model of terrain texture show the similarity of similar landforms and the difference of different landforms at a certain scale. The closer the metric model index value is to 1, the more significant the comprehensive feature of texture is, the stronger the periodicity of landform is, and the more uneven the spatial distribution of texture is. This model is helpful to promote the overall and systematic research on digital terrain analysis of regional geomorphology in China.

Citation Download Citation

Lin Zhang, Hongchun Zhu, Yuexue Xu, Changyu Hu, and Kai Tang "Construction of comprehensive metric model of terrain texture and analysis of regional features", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731P (12 May 2022); https://doi.org/10.1117/12.2634551

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Analytical research

Statistical analysis

Data modeling

Factor analysis

Distributed interactive simulations

Statistical modeling

Sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years