This work was supported by the [National Natural Science Foundation] under Grant [No. 42074016], the [Science and Technology Platform and Talent Program of Hunan Science and Technology Administration] under Grant [No. 2018TP2040], the [Changsha City Natural Science Foundation] under Grant [No. kq2014161] and the [Science and Technology Research Program of Hunan Provincial Natural Resources Department] under [No. 2021–08].
机构署名：
本校为其他机构
院系归属：
理学院
摘要：
The data mining on GNSS network RTK trajectories could be used to reveal the user behavior pattern, assess the local economy development and even improve the work plan. While the identification of the survey points by stationary and moving states information, is one of the most critical step of data preparation. The performance of traditional DBSCAN approach is not desired since it only supports the horizontal geographic distance information. In this paper an improved DBSCAN clustering is proposed. A novel set of parameters as the change of hei...
