Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence

Huan Yang; Yangming Guo; Zongmin Jiang; Xiaodong Wang; Zhuqing Wang; Mingming Liu

doi:10.1109/CSCWD49262.2021.9437613

Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence

Huan Yang, Yangming Guo, Zongmin Jiang, Xiaodong Wang, Zhuqing Wang, Mingming Liu

School of Cybersecurity

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The cost of data acquisition is relatively high in airborne LiDAR platform, not suitable for the entire industry promotion. Point-Cloud extraction technique based on image, a method based on low-altitude drone image and flight control data for 3D reconstruction is adopted. Do not depend on prior knowledge of camera calibration or other premise, multi-angle, high-overlap image sequence acquired by visible light camera, to restore the three-dimensional reconstruction information. Aiming at the problem of insufficient memory when dealing with high-resolution unmanned aerial vehicle (UAV) images by SIFT (Scale-Invariant Feature Transform) feature extraction operator, an improved SFIT algorithm for image segmentation is proposed. The point cloud filtering is carried out by the method of orthogonal polynomial banding filtering, the ground point and the non-ground point are separated. The non-ground point is used to extract the roof set of the building. This experiment has obtained good test results based on the UAV sequence image in the test area, which has certain application value for low-cost building 3D modeling, 3D modeling of digital city, and damage building damage identification.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021
Editors	Weiming Shen, Jean-Paul Barthes, Junzhou Luo, Yanjun Shi, Jinghui Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	837-842
Number of pages	6
ISBN (Electronic)	9781728165974
DOIs	https://doi.org/10.1109/CSCWD49262.2021.9437613
State	Published - 5 May 2021
Event	24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021 - Dalian, China Duration: 5 May 2021 → 7 May 2021

Publication series

Name	Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021

Conference

Conference	24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021
Country/Territory	China
City	Dalian
Period	5/05/21 → 7/05/21

Keywords

3D reconstruction
classification
filtering
UAV

Access to Document

10.1109/CSCWD49262.2021.9437613

Cite this

Yang, H., Guo, Y., Jiang, Z., Wang, X., Wang, Z., & Liu, M. (2021). Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence. In W. Shen, J.-P. Barthes, J. Luo, Y. Shi, & J. Zhang (Eds.), Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021 (pp. 837-842). Article 9437613 (Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCWD49262.2021.9437613

Yang, Huan ; Guo, Yangming ; Jiang, Zongmin et al. / Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence. Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021. editor / Weiming Shen ; Jean-Paul Barthes ; Junzhou Luo ; Yanjun Shi ; Jinghui Zhang. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 837-842 (Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021).

@inproceedings{49a08b227d3442d98dc904642b68b621,

title = "Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence",

abstract = "The cost of data acquisition is relatively high in airborne LiDAR platform, not suitable for the entire industry promotion. Point-Cloud extraction technique based on image, a method based on low-altitude drone image and flight control data for 3D reconstruction is adopted. Do not depend on prior knowledge of camera calibration or other premise, multi-angle, high-overlap image sequence acquired by visible light camera, to restore the three-dimensional reconstruction information. Aiming at the problem of insufficient memory when dealing with high-resolution unmanned aerial vehicle (UAV) images by SIFT (Scale-Invariant Feature Transform) feature extraction operator, an improved SFIT algorithm for image segmentation is proposed. The point cloud filtering is carried out by the method of orthogonal polynomial banding filtering, the ground point and the non-ground point are separated. The non-ground point is used to extract the roof set of the building. This experiment has obtained good test results based on the UAV sequence image in the test area, which has certain application value for low-cost building 3D modeling, 3D modeling of digital city, and damage building damage identification.",

keywords = "3D reconstruction, classification, filtering, UAV",

author = "Huan Yang and Yangming Guo and Zongmin Jiang and Xiaodong Wang and Zhuqing Wang and Mingming Liu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021 ; Conference date: 05-05-2021 Through 07-05-2021",

year = "2021",

month = may,

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doi = "10.1109/CSCWD49262.2021.9437613",

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series = "Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021",

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Yang, H, Guo, Y, Jiang, Z, Wang, X, Wang, Z & Liu, M 2021, Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence. in W Shen, J-P Barthes, J Luo, Y Shi & J Zhang (eds), Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021., 9437613, Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021, Institute of Electrical and Electronics Engineers Inc., pp. 837-842, 24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021, Dalian, China, 5/05/21. https://doi.org/10.1109/CSCWD49262.2021.9437613

Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence. / Yang, Huan; Guo, Yangming; Jiang, Zongmin et al.
Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021. ed. / Weiming Shen; Jean-Paul Barthes; Junzhou Luo; Yanjun Shi; Jinghui Zhang. Institute of Electrical and Electronics Engineers Inc., 2021. p. 837-842 9437613 (Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence

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AU - Guo, Yangming

AU - Jiang, Zongmin

AU - Wang, Xiaodong

AU - Wang, Zhuqing

AU - Liu, Mingming

PY - 2021/5/5

Y1 - 2021/5/5

N2 - The cost of data acquisition is relatively high in airborne LiDAR platform, not suitable for the entire industry promotion. Point-Cloud extraction technique based on image, a method based on low-altitude drone image and flight control data for 3D reconstruction is adopted. Do not depend on prior knowledge of camera calibration or other premise, multi-angle, high-overlap image sequence acquired by visible light camera, to restore the three-dimensional reconstruction information. Aiming at the problem of insufficient memory when dealing with high-resolution unmanned aerial vehicle (UAV) images by SIFT (Scale-Invariant Feature Transform) feature extraction operator, an improved SFIT algorithm for image segmentation is proposed. The point cloud filtering is carried out by the method of orthogonal polynomial banding filtering, the ground point and the non-ground point are separated. The non-ground point is used to extract the roof set of the building. This experiment has obtained good test results based on the UAV sequence image in the test area, which has certain application value for low-cost building 3D modeling, 3D modeling of digital city, and damage building damage identification.

AB - The cost of data acquisition is relatively high in airborne LiDAR platform, not suitable for the entire industry promotion. Point-Cloud extraction technique based on image, a method based on low-altitude drone image and flight control data for 3D reconstruction is adopted. Do not depend on prior knowledge of camera calibration or other premise, multi-angle, high-overlap image sequence acquired by visible light camera, to restore the three-dimensional reconstruction information. Aiming at the problem of insufficient memory when dealing with high-resolution unmanned aerial vehicle (UAV) images by SIFT (Scale-Invariant Feature Transform) feature extraction operator, an improved SFIT algorithm for image segmentation is proposed. The point cloud filtering is carried out by the method of orthogonal polynomial banding filtering, the ground point and the non-ground point are separated. The non-ground point is used to extract the roof set of the building. This experiment has obtained good test results based on the UAV sequence image in the test area, which has certain application value for low-cost building 3D modeling, 3D modeling of digital city, and damage building damage identification.

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KW - filtering

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Yang H, Guo Y, Jiang Z, Wang X, Wang Z, Liu M. Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence. In Shen W, Barthes JP, Luo J, Shi Y, Zhang J, editors, Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 837-842. 9437613. (Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021). doi: 10.1109/CSCWD49262.2021.9437613

Study on Typical Objects Three-Dimensional Modeling and Classification Technology Based on UAV Image Sequence

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Keywords

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