Comparison of Horizontal Precision of Various Aerial Survey Marks in Orthophoto Production

Hung-Lin Lin, Hsin-Yi Lee, Hung-I Huang, Kuo-Hsiang Tseng, Yi-Chan Tsai
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引用次数: 1

Abstract

Based on MVS-SfM algorithm, the commercial image processing software PhotoScan provides the function of automatic matching of ground marks, such as, circular, square and coded mark. However, the practical plane accuracy between the auto-matching and man-selected is not well-defined. This study is compared the plane accuracy for three types of ground marks under the same variable conditions using practical UAS photogrammetry. When the image processing with three auto-matching marks are examined as well as the wing mark is also used the man-selected to put together to compare the plane accuracy. Overall, the plane accuracy of man-selected wing mark is better than three auto-matching marks in the orthophoto. Meanwhile, the plane accuracy using square mark is better than the rest marks in three auto-matching process. The obtained accuracy result is much close to man-selected wing mark. It is recommended that choosing the auto-matching square mark can be derived the better performance in practical project implementation.
正射影像生产中不同航测标记水平精度的比较
商用图像处理软件PhotoScan基于MVS-SfM算法,提供了圆形、方形和编码标记等地面标记的自动匹配功能。然而,实际平面精度在自动匹配和人工选择之间并没有明确的定义。本研究利用实际的无人机摄影测量,比较了相同可变条件下三种地面标记的平面精度。在对三种自动匹配标记进行图像处理的同时,还使用了机翼标记,将人工选择的图像放在一起比较平面精度。总体而言,在正射影像中,人工选择的机翼标记的平面精度优于三种自动匹配标记。同时,在三次自动匹配过程中,使用方形标记的平面精度优于其他标记。所得精度结果与人工选翼标记非常接近。建议在实际工程实施中选择自动匹配方形标记可以获得更好的性能。
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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