Laboratoire en Sciences et Technologies de l'information Géographique, Institut National de l'information Géographique et Forestière, Saint-Mandé, 94160, France.
Sensors (Basel). 2018 Jul 4;18(7):2150. doi: 10.3390/s18072150.
Photogrammetric processing is available in various software solutions and can easily deliver 3D pointclouds as accurate as 1 pixel. Certain applications, e.g., very accurate shape reconstruction in industrial metrology or change detection for deformation studies in geosciences, require results of enhanced accuracy. The tie-point extraction step is the opening in the photogrammetric processing chain and therefore plays a key role in the quality of the subsequent image orientation, camera calibration and 3D reconstruction. Improving its precision will have an impact on the obtained 3D. In this research work we describe a method which aims at enhancing the accuracy of image orientation by adding a second iteration photogrammetric processing. The result from the classical processing is used as information to guide the extraction of refined tie-points of better photogrammetric quality. Evaluated on indoor and UAV acquisitions, the proposed methodology shows a significant improvement on the obtained 3D point accuracy.
摄影测量处理有多种软件解决方案可供选择，可轻松提供精确到 1 个像素的 3D 点云。某些应用程序，例如工业计量学中非常精确的形状重建或地球科学中变形研究的变化检测，需要更高精度的结果。连接点提取步骤是摄影测量处理链中的一个关键环节，因此在后续的图像定向、相机校准和 3D 重建的质量中起着关键作用。提高其精度将对获得的 3D 产生影响。在这项研究工作中，我们描述了一种通过添加第二次迭代摄影测量处理来提高图像定向精度的方法。经典处理的结果被用作信息来指导提取具有更好摄影测量质量的细化连接点。在室内和无人机采集上进行评估，所提出的方法在获得的 3D 点精度上有显著提高。
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