A METHODOLOGY FOR CAVE FLOOR BASEMAP SYNTHESIS FROM POINT CLOUD DATA: A CASE STUDY OF SLAM-BASED LIDAR AT LAS CUEVAS, BELIZE

H. Lozano Bravo, E. Lo, H. Moyes, D. Rissolo, S. Montgomery, F. Kuester
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Abstract

Abstract. Creating cave maps is an essential part of cave research. Traditional cartographic efforts are extremely time consuming and subjective, motivating the development of new techniques using terrestrial lidar scanners and mobile lidar systems. However, processing the large point clouds from these scanners to produce detailed, yet manageable “maps” remains a challenge. In this work, we present a methodology for synthesizing a basemap representing the cave floor from large scale point clouds, based on a case study of a SLAM-based lidar data acquisition from a cave system in the archaeological site of Las Cuevas, Belize. In 4 days of fieldwork, the 335 m length of the cave system was scanned, resulting in a point cloud of 4.1 billion points, with 1.6 billion points classified as part of the cave floor. This point cloud was processed to produce a basemap that can be used in GIS, where natural and anthropogenic features are clearly visible and can be traced to create accurate 2D maps similar to traditional cartography.
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从点云数据合成洞穴底图的方法:以伯利兹拉斯奎瓦斯的激光雷达为例
摘要绘制洞穴地图是洞穴研究的重要组成部分。传统的制图工作非常耗时和主观,这促使使用地面激光雷达扫描仪和移动激光雷达系统的新技术的发展。然而,如何处理这些扫描仪上的大点云来生成详细的、可管理的“地图”仍然是一个挑战。在这项工作中,我们提出了一种从大尺度点云合成代表洞穴地面的底图的方法,该方法基于从伯利兹Las Cuevas考古遗址的洞穴系统中获取基于slam的激光雷达数据的案例研究。在4天的野外工作中,对335米长的洞穴系统进行了扫描,得到了41亿个点云,其中16亿个点被归类为洞穴底板的一部分。该点云经过处理后生成了可用于GIS的底图,其中自然和人为特征清晰可见,可以追踪以创建类似于传统制图的精确2D地图。
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来源期刊
ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences
ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences Environmental Science-Environmental Science (miscellaneous)
CiteScore
2.00
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0.00%
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0
审稿时长
16 weeks
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