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用于三维点云过滤的贝叶斯框架

IF 1 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Journal of Spatial Science Pub Date : 2024-04-12 DOI:10.1080/14498596.2024.2337742
Haval AbdulJabbar Sadeq
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引用次数: 0

摘要

本文介绍了一种新颖的贝叶斯滤波技术，用于遥感应用中复杂地形和陡坡地面点的滤波。该技术将 LAStool...
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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A Bayesian framework for 3D point cloud filtering
This paper introduces a novel Bayesian filtering technique for the filtration of ground points in complex terrain and steep inclines in remote sensing applications. The technique integrates LAStool...
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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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