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针对城市 MLS 数据集的自适应迭代加权滤波方法

IF 1 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Journal of Spatial Science Pub Date : 2024-05-27 DOI:10.1080/14498596.2024.2350588
Baris Suleymanoglu, Arzu Soycan, Metin Soycan
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引用次数: 0

摘要

本研究提出了一种使用稳健迭代重新加权法对移动激光扫描（MLS）数据进行过滤的新方法。首先，将三维点云投影到二维网格上，以创建表面...
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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An adaptive iterative reweighted filtering methodology for urban MLS dataset
This study presents a novel filtering methodology for Mobile Laser Scanning (MLS) data using robust iterative reweighting. Initially, 3D point clouds are projected onto a 2D grid to create surfaces...
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来源期刊
Journal of Spatial Science
Journal of Spatial Science 地学-地质学
CiteScore
5.00
自引率
5.30%
发文量
25
审稿时长
>12 weeks
期刊介绍： The Journal of Spatial Science publishes papers broadly across the spatial sciences including such areas as cartography, geodesy, geographic information science, hydrography, digital image analysis and photogrammetry, remote sensing, surveying and related areas. Two types of papers are published by he journal: Research Papers and Professional Papers. Research Papers (including reviews) are peer-reviewed and must meet a minimum standard of making a contribution to the knowledge base of an area of the spatial sciences. This can be achieved through the empirical or theoretical contribution to knowledge that produces significant new outcomes. It is anticipated that Professional Papers will be written by industry practitioners. Professional Papers describe innovative aspects of professional practise and applications that advance the development of the spatial industry.
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