Next Article in Journal
Response of Total Suspended Sediment and Chlorophyll-a Concentration to Late Autumn Typhoon Events in the Northwestern South China Sea
Next Article in Special Issue
Terrestrial Videogrammetry for Deriving Key Forest Inventory Data: A Case Study in Plantation
Previous Article in Journal
Three- and Four-Dimensional Topographic Measurement and Validation
Previous Article in Special Issue
Workflow for Off-Site Bridge Inspection Using Automatic Damage Detection-Case Study of the Pahtajokk Bridge
Article

Multi-Scene Building Height Estimation Method Based on Shadow in High Resolution Imagery

1
Faculty of Geosciences and Environmental Engineering, South West Jiaotong University, Chengdu 611756, China
2
College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
*
Author to whom correspondence should be addressed.
Academic Editors: Lingli Zhu, Sylvie Daniel and Jonathan Li
Remote Sens. 2021, 13(15), 2862; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152862
Received: 2 June 2021 / Revised: 13 July 2021 / Accepted: 20 July 2021 / Published: 21 July 2021
Accurately building height estimation from remote sensing imagery is an important and challenging task. However, the existing shadow-based building height estimation methods have large errors due to the complex environment in remote sensing imagery. In this paper, we propose a multi-scene building height estimation method based on shadow in high resolution imagery. First, the shadow of building is classified and described by analyzing the features of building shadow in remote sensing imagery. Second, a variety of shadow-based building height estimation models is established in different scenes. In addition, a method of shadow regularization extraction is proposed, which can solve the problem of mutual adhesion shadows in dense building areas effectively. Finally, we propose a method for shadow length calculation combines with the fish net and the pauta criterion, which means that the large error caused by the complex shape of building shadow can be avoided. Multi-scene areas are selected for experimental analysis to prove the validity of our method. The experiment results show that the accuracy rate is as high as 96% within 2 m of absolute error of our method. In addition, we compared our proposed approach with the existing methods, and the results show that the absolute error of our method are reduced by 1.24 m–3.76 m, which can achieve high-precision estimation of building height. View Full-Text
Keywords: remote sensing imagery; building height estimation; multi-scene; shadow; pauta criterion remote sensing imagery; building height estimation; multi-scene; shadow; pauta criterion
Show Figures

Graphical abstract

MDPI and ACS Style

Xie, Y.; Feng, D.; Xiong, S.; Zhu, J.; Liu, Y. Multi-Scene Building Height Estimation Method Based on Shadow in High Resolution Imagery. Remote Sens. 2021, 13, 2862. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152862

AMA Style

Xie Y, Feng D, Xiong S, Zhu J, Liu Y. Multi-Scene Building Height Estimation Method Based on Shadow in High Resolution Imagery. Remote Sensing. 2021; 13(15):2862. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152862

Chicago/Turabian Style

Xie, Yakun, Dejun Feng, Sifan Xiong, Jun Zhu, and Yangge Liu. 2021. "Multi-Scene Building Height Estimation Method Based on Shadow in High Resolution Imagery" Remote Sensing 13, no. 15: 2862. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13152862

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

Article Access Map by Country/Region

1
Back to TopTop