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RESEARCH AND APPLICATION OF HISTORICAL 3D MODELING BASED ON ARCHIVED NON-OBLIQUE AERIAL PHOTOS

机译:基于存档的非斜空中照片的历史3D建模研究与应用

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Nowadays, the oblique and multi-view, large-overlap aerial photography and airborne LiDAR are the main sources to build the 3D scene model. However, most of our archived aerial photos are acquired by non-oblique, normal photography. Because of low resolution, low overlay and poor model texture, there were less relative research and application. With the development of pixel-level matching technology, especially the application of Semi-Global Matching (SGM) and Multi-View Stereo (MVS) algorithm, the normal (non-oblique, non-large overlap) aerial photos could also be explored to restore the dense Digital Surface Model (DSM) and 3D scene model. In this paper, the method of the 3D scene modelling with the non-oblique aerial photos are summarized into 4 steps consisting of Data preprocessing, Ground Control Points (GCPs) collection and aerial triangulation (AT), DSM extraction and editing, 3D modelling and visualization. For the archived non-oblique aerial photos, including the aerial photographic films, digital frame photos and push-broom aerial data, the key steps of the 3D modelling method with these non-oblique aerial photos are discussed. Based on the experiments, the method can effectively explore the archived normal aerial data for large range restoration, 3D restoration, time series change detection and etc., providing new valuable spatio-temporal data for the urban historical research.
机译:如今,倾斜和多视图,大型重叠的航拍和空中激光器是构建3D场景模型的主要来源。然而,我们的大多数已存档的航拍照片由非倾斜,正常摄影获得。由于分辨率低,覆盖率低,模型纹理差,相对的研究和应用较少。随着像素级匹配技术的发展,特别是半全局匹配(SGM)和多视图立体声(MVS)算法的应用,也可以探索正常(非倾斜,非大重叠)航空照片恢复密集的数字表面模型(DSM)和3D场景模型。在本文中,将3D场景建模与非斜空照片建模的方法总结成4个步骤,包括数据预处理,地面控制点(GCP)收集和空中三角剖分(AT),DSM提取和编辑,3D建模和可视化。对于存档的非倾斜空中照片,包括航空摄影薄膜,数字框架照片和推扫帚空中数据,讨论了与这些非斜空照片的3D建模方法的关键步骤。基于实验,该方法可以有效地探索大型恢复,3D恢复,时间序列变化检测等的存档的正常空中数据,为城市历史研究提供了新的宝贵时空数据。

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