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Sensors 2017, 17(2), 222; doi:10.3390/s17020222

A Hierarchical Building Segmentation in Digital Surface Models for 3D Reconstruction

1
Institute of Information Technology, Harbin Engineering University, Harbin 150001, China
2
Institute of Automation of Heilongjiang Academy of Sciences, Harbin 150001, China
3
Department of Information Engineering, Harbin Institute of Technology, Harbin 150001, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Felipe Gonzalez Toro and Antonios Tsourdos
Received: 17 October 2016 / Revised: 30 December 2016 / Accepted: 13 January 2017 / Published: 24 January 2017
(This article belongs to the Special Issue UAV-Based Remote Sensing)
View Full-Text   |   Download PDF [6767 KB, uploaded 24 January 2017]   |  

Abstract

In this study, a hierarchical method for segmenting buildings in a digital surface model (DSM), which is used in a novel framework for 3D reconstruction, is proposed. Most 3D reconstructions of buildings are model-based. However, the limitations of these methods are overreliance on completeness of the offline-constructed models of buildings, and the completeness is not easily guaranteed since in modern cities buildings can be of a variety of types. Therefore, a model-free framework using high precision DSM and texture-images buildings was introduced. There are two key problems with this framework. The first one is how to accurately extract the buildings from the DSM. Most segmentation methods are limited by either the terrain factors or the difficult choice of parameter-settings. A level-set method are employed to roughly find the building regions in the DSM, and then a recently proposed ‘occlusions of random textures model’ are used to enhance the local segmentation of the buildings. The second problem is how to generate the facades of buildings. Synergizing with the corresponding texture-images, we propose a roof-contour guided interpolation of building facades. The 3D reconstruction results achieved by airborne-like images and satellites are compared. Experiments show that the segmentation method has good performance, and 3D reconstruction is easily performed by our framework, and better visualization results can be obtained by airborne-like images, which can be further replaced by UAV images. View Full-Text
Keywords: building segmentation; digital surface model; remote sensing; 3D reconstruction building segmentation; digital surface model; remote sensing; 3D reconstruction
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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).

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Yan, Y.; Gao, F.; Deng, S.; Su, N. A Hierarchical Building Segmentation in Digital Surface Models for 3D Reconstruction. Sensors 2017, 17, 222.

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