Specular and diffuse object extraction from a LiDAR derived Digital Surface Model (DSM)

8th International Symposium of the Digital Earth

地球科学;计算机科学

Saraf, N.M.^1 ; Hamid, J.R.A.^1 ; Kamaruddin, M.H.^1

Centre for Geospatial Technology (CGT), Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA (UiTM), Selangor, 40450 Shah Alam, Malaysia^1

关键词: Building extraction;    Contour analysis;    Diffuse reflectivity;    Digital surface model (DSM);    Error assessment;    Object extraction;    Object segmentation;    Vertical accuracy;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012050/pdf
DOI  :  10.1088/1755-1315/18/1/012050

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This paper intents to investigate the indifferent behaviour quantitatively of target objects of interest due to specular and diffuse reflectivity based on generated LiDAR DSM of the study site in Ampang, Kuala Lumpur. The LiDAR data to be used was initially checked for its reliability and accuracy. The point cloud LiDAR data was converted to raster to allow grid analysis of the next process of generating the DSM and DTM. Filtering and masking were made removing the features of interest (i.e. building and tree) and other unwanted above surface features. A normalised DSM and object segmentation approach were conducted on the trees and buildings separately. Error assessment and findings attained were highlighted and documented. The result of LiDAR verification certified that the data is reliable and useable. The RMSE obtained is within the tolerance value of horizontal and vertical accuracy (x, y, z) i.e. 0.159 m, 0.211 m 0.091 m respectively. Building extraction inclusive of roof top based on slope and contour analysis undertaken indicate the capability of the approach while single tree extraction through aspect analysis appears to preserve the accuracy of the extraction accordingly. The paper has evaluated the suitable methods of extracting non-ground features and the effective segmentation of the LiDAR data.