太阳成8722(中国)有限公司-GREEN NO.1

标题：A method based on an adaptive radius cylinder model for detecting pole-like objects in mobile laser scanning data作者：Li, Lin; Li, You; Li, Dalin

来源出版物：REMOTE SENSING LETTERS 卷：7 期：3 页：249-258 DOI：10.1080/2150704X.2015.1126377 出版年：MAR 3 2016

摘要：This letter presents a method based on an adaptive radius cylinder model (MBARCM) for detecting pole-like objects in mobile laser scanning data. First, the unorganized point clouds are voxelized to compress and organize the original data. Second, the bottom-up tracing algorithm is implemented to detect potential vertical-object locations, and the neighbour segments are merged. Finally, the adaptive radius cylinder model is built based on the selected layers of the vertical segment, and the model is applied to the merged vertical segments to perform isolation analysis. The performance of the proposed method is validated on three test sites for two datasets. Using the proposed method, the completeness values ranged from 94.6% to 97.7% for the three sites tested, while the correctness values were from 79% to 100%.

入藏号：WOS:000367362100001

文献类型：Article

语种：English

扩展关键词：POINT CLOUDS

通讯作者地址：Li, You; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址：boycecug@gmail.com

地址：

[Li, Lin; Li, You; Li, Dalin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

[Li, Lin] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan *430072*, Peoples R China.

研究方向：Remote Sensing; Imaging Science & Photographic Technology

ISSN：2150-704X

eISSN:2150-7058

影响因子（2014）：1.573