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恶劣光照条件下的无人机摄影测量——精度考量

UAV Photogrammetry under Poor Lighting Conditions-Accuracy Considerations.

作者信息

Burdziakowski Pawel, Bobkowska Katarzyna

机构信息

Department of Geodesy, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Narutowicza 11-12, 80-233 Gdansk, Poland.

出版信息

Sensors (Basel). 2021 May 19;21(10):3531. doi: 10.3390/s21103531.

Abstract

The use of low-level photogrammetry is very broad, and studies in this field are conducted in many aspects. Most research and applications are based on image data acquired during the day, which seems natural and obvious. However, the authors of this paper draw attention to the potential and possible use of UAV photogrammetry during the darker time of the day. The potential of night-time images has not been yet widely recognized, since correct scenery lighting or lack of scenery light sources is an obvious issue. The authors have developed typical day- and night-time photogrammetric models. They have also presented an extensive analysis of the geometry, indicated which process element had the greatest impact on degrading night-time photogrammetric product, as well as which measurable factor directly correlated with image accuracy. The reduction in geometry during night-time tests was greatly impacted by the non-uniform distribution of GCPs within the study area. The calibration of non-metric cameras is sensitive to poor lighting conditions, which leads to the generation of a higher determination error for each intrinsic orientation and distortion parameter. As evidenced, uniformly illuminated photos can be used to construct a model with lower reprojection error, and each tie point exhibits greater precision. Furthermore, they have evaluated whether commercial photogrammetric software enabled reaching acceptable image quality and whether the digital camera type impacted interpretative quality. The research paper is concluded with an extended discussion, conclusions, and recommendation on night-time studies.

摘要

低空摄影测量的应用非常广泛,该领域的研究涉及多个方面。大多数研究和应用基于白天获取的图像数据,这似乎是自然且显而易见的。然而,本文作者提请注意无人机摄影测量在一天中较暗时段的潜力和可能用途。夜间图像的潜力尚未得到广泛认可,因为正确的场景照明或缺乏场景光源是一个明显的问题。作者开发了典型的白天和夜间摄影测量模型。他们还对几何形状进行了广泛分析,指出了哪个处理元素对夜间摄影测量产品的退化影响最大,以及哪个可测量因素与图像精度直接相关。在夜间测试中,几何形状的减少受到研究区域内地面控制点(GCP)分布不均匀的极大影响。非量测相机的校准对恶劣照明条件敏感,这会导致每个内方位和畸变参数产生更高的测定误差。有证据表明,均匀照明的照片可用于构建重投影误差较低的模型,并且每个连接点都具有更高的精度。此外,他们评估了商用摄影测量软件是否能够达到可接受的图像质量,以及数码相机类型是否会影响解释质量。该研究论文最后对夜间研究进行了深入讨论、得出结论并提出了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73fa/8161153/a5624e6fa1c1/sensors-21-03531-g001.jpg

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