e-space
Manchester Metropolitan University's Research Repository

BIM for existing facilities: Feasibility of spectral image integration to 3D point cloud data

Amano, K and Lou, E (2016) BIM for existing facilities: Feasibility of spectral image integration to 3D point cloud data. In: The 4th International Building Control Conference 2016 (IBCC 2016), 07 March 2016 - 08 March 2016, Kuala Lumpur.

[img]
Preview

Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Accurate geometrical and spatial information of the built environment can be accurately acquired and the resulting 3D point cloud data is required to be processed to construct the digital model, Building Information Modelling (BIM) for existing facilities. Point cloud by laser scanning over the buildings and facilities has been commonly used, but the data requires external information so that any objects and materials can be correctly identified and classified. A number of advanced data processing methods have been developed, such as the use of colour information to attach semantic information. However, the accuracy of colour information depends largely on the scene environment where the image is acquired. The limited number of spectral channels on conventional RGB camera often fails to extract important information about surface material, despite spectral surface reflectance can represent a signature of the material. Hyperspectral imaging can, instead, provide precise representation of spatial and spectral information. By implementing such information to 3D point cloud, the efficiency of material detection and classification in BIM should be significantly improved. In this work, the feasibility of the image integration and discuss practical difficulties in the development.

Impact and Reach

Statistics

Downloads
Activity Overview
80Downloads
115Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Actions (login required)

Edit Item Edit Item