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

网络空间安全学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021
编辑	Weiming Shen, Jean-Paul Barthes, Junzhou Luo, Yanjun Shi, Jinghui Zhang
出版商	Institute of Electrical and Electronics Engineers Inc.
页	837-842
页数	6
ISBN（电子版）	9781728165974
DOI	https://doi.org/10.1109/CSCWD49262.2021.9437613
出版状态	已出版 - 5 5月 2021
活动	24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021 - Dalian, 中国期限: 5 5月 2021 → 7 5月 2021

出版系列

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

会议

会议	24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021
国家/地区	中国
市	Dalian
时期	5/05/21 → 7/05/21

访问文件

10.1109/CSCWD49262.2021.9437613

其它文件与链接

链接到 Scopus 的出版物

引用此

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. 在 W. Shen, J.-P. Barthes, J. Luo, Y. Shi, & J. Zhang (编辑), Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021 (页码 837-842). 文章 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 等. / 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. 编辑 / Weiming Shen ; Jean-Paul Barthes ; Junzhou Luo ; Yanjun Shi ; Jinghui Zhang. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 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,

day = "5",

doi = "10.1109/CSCWD49262.2021.9437613",

language = "英语",

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.",

pages = "837--842",

editor = "Weiming Shen and Jean-Paul Barthes and Junzhou Luo and Yanjun Shi and Jinghui Zhang",

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

}

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. 在 W Shen, J-P Barthes, J Luo, Y Shi & J Zhang (编辑), 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., 页码 837-842, 24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021, Dalian, 中国, 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 等.
Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021. 编辑 / Weiming Shen; Jean-Paul Barthes; Junzhou Luo; Yanjun Shi; Jinghui Zhang. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 837-842 9437613 (Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

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

AU - Yang, Huan

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.

KW - 3D reconstruction

KW - classification

KW - filtering

KW - UAV

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U2 - 10.1109/CSCWD49262.2021.9437613

DO - 10.1109/CSCWD49262.2021.9437613

M3 - 会议稿件

AN - SCOPUS:85107776416

T3 - Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021

SP - 837

EP - 842

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

A2 - Shen, Weiming

A2 - Barthes, Jean-Paul

A2 - Luo, Junzhou

A2 - Shi, Yanjun

A2 - Zhang, Jinghui

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021

Y2 - 5 May 2021 through 7 May 2021

ER -

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. 在 Shen W, Barthes JP, Luo J, Shi Y, Zhang J, 编辑, 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. 页码 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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