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Comparison of Horizontal Accuracy, Shape Similarity and Cost of Three Different Road Mapping Techniques

机译:三种不同路线图技术的水平精度,形状相似度和成本比较

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摘要

Accurate spatial information on forest roads is important for forest management and harvest operations. This study evaluated the positional accuracy, shape similarity, and cost of three mapping techniques: GNSS (Global Navigation Satellite System) mapping, CAD file conversion (as-built drawing), and image warping. We chose five road routes within the national forest road system in the Republic of Korea and made digital road maps using each technique. We then compared map accuracy to reference maps made from field surveys. The mapping and field-survey results were compared using point-correspondence, buffering analysis, shape index, and turning function methods. The comparisons indicate that GNSS mapping is the best technique because it generated the highest accuracy (Root Mean Square Error: GNSS mapping 1.28, image warping 7.13, CAD file conversion 13.35), the narrowest buffering width for 95% of the routes overlapped (buffering width: GNSS mapping 1.5 m, image warping 18 m, CAD file conversion 24 m), highest shape similarity (shape index: GNSS mapping 19.6–28.9, image warping 7.2–10.8, CAD file conversion 6.5–7.4), and smallest area size difference in turning function analysis (GNSS mapping 2814–4949, image warping 7972–26,256, CAD file conversion 8661–27,845). However, GNSS requires more time (236 min/km) and costs more ($139.64/km) to produce a digital road map as compared to CAD file conversion (99 min/km and $40.90/km) and image warping (180 min/km and $81.84/km). Managers must decide on the trade-off between accuracy and cost while considering the demand and purpose of maps. GNSS mapping can be used for small-scale mapping or short-haul routes that require a small error range. Image warping was the lowest cost and produced low-accuracy maps, but may be suitable for large-scale mapping at the regional or national level. CAD file conversion was expected to be the most accurate method, because it converted as-built drawings to a map. However, we found that it was the least accurate method, indicating low accuracy of the as-built drawings. Efforts should be made to improve the accuracy of the as-built drawings in Korea.
机译:有关森林道路的准确空间信息对于森林管理和采伐作业至关重要。这项研究评估了三种制图技术的位置精度,形状相似度和成本:GNSS(全球导航卫星系统)制图,CAD文件转换(竣工图)和图像变形。我们在大韩民国的国家森林公路系统中选择了五条公路路线,并使用每种技术制作了数字路线图。然后,我们将地图的准确性与通过现场调查制作的参考地图进行了比较。使用点对应,缓冲分析,形状索引和转弯函数方法比较了映射和现场调查的结果。比较结果表明GNSS映射是最好的技术,因为它产生了最高的准确性(均方根误差:GNSS映射1.28,图像变形7.13,CAD文件转换13.35),对于95%重叠的路由,最窄的缓冲宽度(缓冲宽度:GNSS映射1.5 m,图像变形18 m,CAD文件转换24 m),形状相似度最高(形状索引:GNSS映射19.6–28.9,图像变形7.2–10.8,CAD文件转换6.5–7.4),且面积差异最小车削功能分析(GNSS映射2814–4949,图像变形7972–26,256,CAD文件转换8661–27,845)。但是,与CAD文件转换(99分钟/公里和40.90美元/公里)和图像变形(180分钟/公里)相比,GNSS需要更多的时间(236分钟/公里)并且花费更多的时间(139.64美元/公里)来生成数字路线图。和$ 81.84 /公里)。管理者必须在考虑地图的需求和目的时决定准确性和成本之间的权衡。 GNSS映射可用于需要较小误差范围的小规模映射或短途路由。图像变形是成本最低且生成的精度较低的地图,但可能适合于区域或国家级的大规模地图绘制。 CAD文件转换被认为是最准确的方法,因为它可以将竣工图转换为地图。但是,我们发现这是最不准确的方法,表明竣工图的准确性较低。在韩国,应努力提高竣工图的准确性。

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