Extraction of Vertical Walls from Mobile Laser Scanning Data for Solar Potential Assessment

Remote Sensing

Andreas Jochem¹  Bernhard Höfle¹ 

[1] ¹alpS-Centre for Climate Change Adaptation Technologies, 6020 Innsbruck, Austria

关键词: mobile laser scanning;    3D point cloud;    3D feature extraction;    solar potential;    3D horizon;   

DOI  :  10.3390/rs3030650

来源: mdpi

【 摘 要 】

In recent years there has been an increasing demand among home owners for cost effective sustainable energy production such as solar energy to provide heating and electricity. A lot of research has focused on the assessment of the incoming solar radiation on roof planes acquired by, e.g., Airborne Laser Scanning (ALS). However, solar panels can also be mounted on building facades in order to increase renewable energy supply. Due to limited reflections of points from vertical walls, ALS data is not suitable to perform solar potential assessment of vertical building facades. This paper focuses on a new method for automatic solar radiation modeling of facades acquired by Mobile Laser Scanning (MLS) and uses the full 3D information of the point cloud for both the extraction of vertical walls covered by the survey and solar potential analysis. Furthermore, a new method isintroduced determining the interior and exterior face, respectively, of each detected wall in order to calculate its slope and aspect angles that are of crucial importance for solar potential assessment. Shadowing effects of nearby objects are considered by computing the 3D horizon of each point of a facade segment within the 3D point cloud.

【 授权许可】

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