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Remote Sensing for Land & Resources    2021, Vol. 33 Issue (1) : 72-77     DOI: 10.6046/gtzyyg.2020172
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An automatic repairing technology of 3D model for blind area in oblique photography based on close range image
WANG Ya1(), ZENG Zhi2()
1. Zhejiang Institute of Surveying and Mapping Science and Technology, Hangzhou 311110, China
2. School of Computer Science and Technology, Huizhou University, Huizhou 516007, China
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Abstract  

In close range oblique photography, there are problems of structural adhesion and distortion of 3D model caused by dead angle of aerial photography. In this study, based on a large number of close range images, the technology uses image processing techniques such as feature line matching, point cloud matching, texture mapping to fill in the blind area generated by oblique photography, so as to further optimize the structure and texture of the corresponding near earth model, realize the fine reconstruction, and solve the problem that it is difficult for the oblique photography model to browse near the ground. Comparative experiments show that the proposed method can improve the effect of close range correction to a certain extent and improve the visualization effect of oblique photography digital 3D imaging, thus providing reference for obtaining high-quality and high-precision 3D real scene model.

Keywords oblique photography      3D model      close range image      blind area repairing     
ZTFLH:  P208  
Corresponding Authors: ZENG Zhi     E-mail: wangya@zjccs.gov.cn;zengzhi@hzu.edu.cn
Issue Date: 18 March 2021
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Ya WANG,Zhi ZENG. An automatic repairing technology of 3D model for blind area in oblique photography based on close range image[J]. Remote Sensing for Land & Resources, 2021, 33(1): 72-77.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020172     OR     https://www.gtzyyg.com/EN/Y2021/V33/I1/72
Fig.1  Vertical view of oblique photography model
Fig.2  Oblique photography model of the venue of geographic information hall
Fig.3  Acquisition tracks and supplementary restoration of close range images
Fig.4  Registration process of close range image and 3D point cloud model
Fig.5  Triangulation network to find void effect
Fig.6  Feature line matching and restoration
Fig.7  3D model updating process
Fig.8  A restored oblique photography model
Fig.9  Aerial tilt model and close range correction effect
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