A Method for Building Model Reconstruction Based on Multi-source Feature Fusion

WEN Xuedong; CHEN Weimin; XIE Hong; YAN Li

doi:10.13203/j.whugis20180320

Volume 44 Issue 5

May 2019

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Geomatics and Information Science of Wuhan University > 2019 > 44(5): 731-736, 764. > DOI: 10.13203/j.whugis20180320

WEN Xuedong, CHEN Weimin, XIE Hong, YAN Li. A Method for Building Model Reconstruction Based on Multi-source Feature Fusion[J]. Geomatics and Information Science of Wuhan University, 2019, 44(5): 731-736, 764. DOI: 10.13203/j.whugis20180320

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A Method for Building Model Reconstruction Based on Multi-source Feature Fusion

WEN Xuedong^{1, 2,},
CHEN Weimin²,
XIE Hong¹,
YAN Li^1, ,

1.
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
2.
Ningbo Bureau of Natural Resources and Planning, Ningbo 315042, China

Funds:

National Key Research and Development Program of China 2017YFC0803802

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Author Bio:
WEN Xuedong, PhD, specializes in remote sensing information processing. E-mail:66676483@qq.com
Corresponding author:
YAN Li, PhD, professor. E-mail: lyan@sgg.edu.cn
Received Date: August 23, 2018
Published Date: May 04, 2019

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Abstract

Abstract

Taking laser point cloud data and multi-view airborne oblique images as studying objects, an approach by integrating multi-source feature from airborne point cloud, ground laser point cloud and multiview airborne oblique images is proposed for building model reconstruction. Based on the combination of planar surface from point cloud segmentation and edge line extracted from images, the shape of the roof and façade model is refined utilizing the image lines as boundary constraints.Then the reconstruction process is implemented through the automatic topological optimization, necessary interactive editing and the final texture mapping. Compared with the manual and automatic reconstruction methods, the experiment result shows that this method can effectively improve the reliability of 3D model reconstruction of urban buildings, and provides a feasible solution for detailed building reconstruction using multi-source data.
- laser point cloud,
- multi-view oblique image,
- 3D reconstruction,
- feature fusion

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