首页|Multi-angle analysis of shading-based modelling: extracting the urban building height based on ZY-3 three-line-array camera

Multi-angle analysis of shading-based modelling: extracting the urban building height based on ZY-3 three-line-array camera

扫码查看
ABSTRACT Building height is a crucial parameter for urban environment analysis and an essential component in urban microclimate modelling. Its rapid and accurate acquisition is fundamental for applications such as urban environmental management and planning. Shading-based modelling from high-resolution imagery is a common method used to estimate building height. Current new ZY-3 three-line-array camera, capable of simultaneously capturing multi-angle high-resolution images from orthometric and forward/backward cameras, offers enhanced opportunities for improving building height extraction. In this study, we developed and tested the effects of using multi-angle images on building height extraction across various urban residential district scenes. The results showed that shading-based modelling achieves higher accuracy in low height-unevenness district scene and lower accuracy in high height-unevenness district scene. Further analysis revealed that the dual-view imagery model significantly improves accuracy in high height-unevenness districts, while the three-view imagery model did not provide additional benefits. These findings highlight the importance of selecting appropriate multi-angle imagery models tailored to specific district scene to achieve meaningful improvements in building height estimation accuracy.

Urban environmentmulti-angle imageryshading-based modellingbuilding heightmodel accuracy

Siqi Lu、Heli Lu、Yi Chen、Chuanrong Zhang、Changhong Miao

展开 >

University of Connecticut

Henan University||Henan University||Henan Key Laboratory of Earth System Observation and Modeling||Henan Dabieshan National Field Observation and Research Station of Forest Ecosystem||Xinyang Academy of Ecological Research

Henan University

Henan University||Henan University

展开 >

2025

International journal of remote sensing

International journal of remote sensing

ISSN:0143-1161
年,卷(期):2025.46(11/12)
  • 91