The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 555–560, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-555-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 555–560, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-555-2020

  12 Aug 2020

12 Aug 2020

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

X. Zhu1, G. Pang2, and C. Chen3 X. Zhu et al.
  • 1Beijing Institute of Surveying and Mapping, 100038 Beijing, P. R. China
  • 2Beijing Tracing Sky Ltd. Company, 100121 Beijing, P. R. China
  • 3National Quality Inspection and Testing Centre for Surveying and Mapping, 100030 Beijing, P. R. China

Keywords: Non-oblique Aerial Photos, 3D Scene Model, Historical Archive, Dense Digital Surface Model (DSM), 3D Reconstruction, 3D Visualization

Abstract. 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.