标題: A heuristic DEM generalization by combining catchments

作者: Li, JZ (Li, Jingzhong); Shen, YL (Shen, Yilang); Gao, A (Gao, Aji); Chen, K (Chen, Kai); Zhang, Y (Zhang, Yong); Ai, TH (Ai, Tinghua)

來源出版物: GEOCARTO INTERNATIONAL DOI: 10.1080/10106049.2021.2017019 提前訪問日期: DEC 2021

摘要: Multi-scale digital elevation model (DEM) is an important content of digital terrain analysis. To generate multi-scale DEM, this study reports a heuristic DEM generalization method. The key of DEM generalization is to maintain the main topographic features and remove the minor topographic features. Our method takes catchment as generalizing object, not single grid pixel as generalizing object. In this way, DEM simplification can be achieved on the basis of maintaining the main terrain characteristics. Compared with the resample method, VIP method and low pass filter method, the proposed method can preserve the main topographic features well when the minor topographic features are deleted. Our main contribution lies in: taking terrain information rather than raw data as the generalizing object, which improves the rationality of the generalizing results; and the heuristic method proposed in this paper has good operability and high automation.

入藏号: WOS:000730492000001

語言: English

文獻類型: Article; Early Access

作者關鍵詞: Digital elevation model; DEM generalization; combination of catchments; valley line; virtual modeling; cartography; topography; terrain

地址: [Li, Jingzhong; Shen, Yilang; Gao, Aji; Ai, Tinghua] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Shen, Yilang] Univ Bonn, Inst Geodesy & Geoinformat, Bonn, Germany.

[Chen, Kai; Zhang, Yong] Chengdu Res Inst Surveying & Invest, Chengdu, Sichuan, Peoples R China.

通訊作者地址: Shen, YL (通訊作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

電子郵件地址: yilangshen@whu.edu.cn

影響因子：4.889