A multi-scale attributes fusion model for travel mode identification using GPS trajectories

IF 4.4 1区地球科学 Q1 REMOTE SENSING

Geo-spatial Information Science Pub Date : 2024-08-08 DOI:10.1080/10095020.2024.2381602

Kunkun Fan, Daichao Li, Xinlei Jin, Sheng Wu

引用次数: 0

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利用 GPS 轨迹识别旅行模式的多尺度属性融合模型

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来源期刊

Geo-spatial Information Science REMOTE SENSING-

CiteScore

10.10

自引率

28.30%

发文量

710

审稿时长

31 weeks

期刊介绍： Geo-spatial Information Science was founded in 1998 by Wuhan University, and is now published in partnership with Taylor & Francis. The journal publishes high quality research on the application and development of surveying and mapping technology, including photogrammetry, remote sensing, geographical information systems, cartography, engineering surveying, GPS, geodesy, geomatics, geophysics, and other related fields. The journal particularly encourages papers on innovative applications and theories in the fields above, or of an interdisciplinary nature. In addition to serving as a source reference and archive of advancements in these disciplines, Geo-spatial Information Science aims to provide a platform for communication between researchers and professionals concerned with the topics above. The editorial committee of the journal consists of 21 professors and research scientists from different regions and countries, such as America, Germany, Switzerland, Austria, Hong Kong and China.