Next Article in Journal
A Citizen-Sensing-Based Digital Service for the Analysis of On-Site Post-Earthquake Messages
Previous Article in Journal
From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-Scale Mobility Data
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2019, 8(3), 135; https://doi.org/10.3390/ijgi8030135

Accurate Reconstruction of the LoD3 Building Model by Integrating Multi-Source Point Clouds and Oblique Remote Sensing Imagery

1,2
,
1,*
,
3
and
1
1
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
2
Ningbo Bureau of Natural Resources and Planning, Ningbo 315042, China
3
Faculty of Geomatics, East China University of Technology, Nanchang 330013, China
*
Author to whom correspondence should be addressed.
Received: 1 February 2019 / Revised: 2 March 2019 / Accepted: 4 March 2019 / Published: 8 March 2019
Full-Text   |   PDF [7715 KB, uploaded 8 March 2019]   |  

Abstract

3D urban building models, which provide 3D information services for urban planning, management and operational decision-making, are essential for constructing digital cities. Unfortunately, the existing reconstruction approaches for LoD3 building models are insufficient in model details and are associated with a heavy workload, and accordingly they could not satisfy urgent requirements of realistic applications. In this paper, we propose an accurate LoD3 building reconstruction method by integrating multi-source laser point clouds and oblique remote sensing imagery. By combing high-precision plane features extracted from point clouds and accurate boundary constraint features from oblique images, the building mainframe model, which provides an accurate reference for further editing, is quickly and automatically constructed. Experimental results show that the proposed reconstruction method outperforms existing manual and automatic reconstruction methods using both point clouds and oblique images in terms of reconstruction efficiency and spatial accuracy. View Full-Text
Keywords: building reconstruction; LoD3; point clouds; oblique imagery; multi-source data building reconstruction; LoD3; point clouds; oblique imagery; multi-source data
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Wen, X.; Xie, H.; Liu, H.; Yan, L. Accurate Reconstruction of the LoD3 Building Model by Integrating Multi-Source Point Clouds and Oblique Remote Sensing Imagery. ISPRS Int. J. Geo-Inf. 2019, 8, 135.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top