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Titlebook: Web and Wireless Geographical Information Systems; 18th International S Sergio Di Martino,Zhixiang Fang,Ki-Joune Li Conference proceedings

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發(fā)表于 2025-3-21 18:00:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Web and Wireless Geographical Information Systems
副標(biāo)題18th International S
編輯Sergio Di Martino,Zhixiang Fang,Ki-Joune Li
視頻videohttp://file.papertrans.cn/1022/1021712/1021712.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Web and Wireless Geographical Information Systems; 18th International S Sergio Di Martino,Zhixiang Fang,Ki-Joune Li Conference proceedings
描述.This book constitutes the refereed proceedings of the 18th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2019, held in Wuhan, China, in November 2020. ..?..The 8 full papers presented together with 15 progress papers or short papers in the volume were carefully reviewed and selected from 40 submissions.? The papers cover topics that range from mobile GIS and Location-Based Services to Spatial Information Retrieval and Wireless Sensor Networks.
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; bandwidth; communication systems; computer hardware; computer networks; computer
版次1
doihttps://doi.org/10.1007/978-3-030-60952-8
isbn_softcover978-3-030-60951-1
isbn_ebook978-3-030-60952-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Registration of Multi-scan Forest Terrestrial Laser Scanning Data Integrated with Smartphonet of the Iterative Closest Point (ICP) algorithm for stem position points to get the fine transformation parameters. The experimental results show that this method can achieve accurate alignment of the stem points captured from different sides in case of no artificial targets and poor intervisibility between different scans.
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Registration of Multi-scan Forest Terrestrial Laser Scanning Data Integrated with Smartphonet of the Iterative Closest Point (ICP) algorithm for stem position points to get the fine transformation parameters. The experimental results show that this method can achieve accurate alignment of the stem points captured from different sides in case of no artificial targets and poor intervisibility between different scans.
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