A marked point process for automated tree detection from mobile laser scanning point cloud data

Laser scanning is a popular means of acquiring the indoor scene data of buildings for a wide range of applications concerning indoor environment. During data acquisition, unwanted data points beyond the indoor space of interest can also be recorded due to the presence of openings, such as windows and doors on walls. For better visualization and further modeling, it is beneficial to filter out those data, which is often achieved manually in practice. To automate this process, an efficient image-based filtering approach was explored in this research. In this approach, a binary mask image was created and updated through mathematical morphology operations, hole filling and connectively analysis. The final mask obtained was used to remove the data points located outside the indoor space of interest. The application of the approach to several point cloud datasets considered confirms its ability to effectively keep the data points in the indoor space of interest with an average precision of 99.50%. The application cases also demonstrate the computational efficiency (0.53 s, at most) of the approach proposed.

Download Full-text

VISUALIZATION OF THE CONSTRUCTION OF ANCIENT ROMAN BUILDINGS IN OSTIA USING POINT CLOUD DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-w3-345-2017 ◽

2017 ◽

Vol XLII-2/W3 ◽

pp. 345-352

Author(s):

Y. Hori ◽

T. Ogawa

Keyword(s):

Point Cloud ◽

Laser Scanning ◽

Feature Matching ◽

Three Dimensional ◽

Point Clouds ◽

Final Report ◽

Point Cloud Data ◽

Cloud Data ◽

Coverage Accuracy ◽

New Research

The implementation of laser scanning in the field of archaeology provides us with an entirely new dimension in research and surveying. It allows us to digitally recreate individual objects, or entire cities, using millions of three-dimensional points grouped together in what is referred to as "point clouds". In addition, the visualization of the point cloud data, which can be used in the final report by archaeologists and architects, should usually be produced as a JPG or TIFF file. Not only the visualization of point cloud data, but also re-examination of older data and new survey of the construction of Roman building applying remote-sensing technology for precise and detailed measurements afford new information that may lead to revising drawings of ancient buildings which had been adduced as evidence without any consideration of a degree of accuracy, and finally can provide new research of ancient buildings. We used laser scanners at fields because of its speed, comprehensive coverage, accuracy and flexibility of data manipulation. Therefore, we “skipped” many of post-processing and focused on the images created from the meta-data simply aligned using a tool which extended automatic feature-matching algorithm and a popular renderer that can provide graphic results.

Download Full-text

Estimating aerodynamic roughness (z0) from terrestrial laser scanning point cloud data over un-vegetated surfaces

Aeolian Research ◽

10.1016/j.aeolia.2013.03.004 ◽

2013 ◽

Vol 10 ◽

pp. 161-169 ◽

Cited By ~ 9

Author(s):

Chris H. Hugenholtz ◽

Owen W. Brown ◽

Thomas E. Barchyn

Keyword(s):

Point Cloud ◽

Laser Scanning ◽

Terrestrial Laser Scanning ◽

Point Cloud Data ◽

Cloud Data ◽

Aerodynamic Roughness

Download Full-text

From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage

Remote Sensing ◽

10.3390/rs12071094 ◽

2020 ◽

Vol 12 (7) ◽

pp. 1094 ◽

Cited By ~ 4

Author(s):

Mesrop Andriasyan ◽

Juan Moyano ◽

Juan Enrique Nieto-Julián ◽

Daniel Antón

Keyword(s):

Point Cloud ◽

Laser Scanning ◽

Accuracy Assessment ◽

Parametric Modelling ◽

Point Cloud Data ◽

Building Information Modelling ◽

Historical Interpretation ◽

Information Modelling ◽

Cloud Data ◽

Building Information

Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.

Download Full-text

Design of Light-Small Mobile 3D Laser Measurement System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.405-408.3032 ◽

2013 ◽

Vol 405-408 ◽

pp. 3032-3036

Author(s):

Yi Bo Sun ◽

Xin Qi Zheng ◽

Zong Ren Jia ◽

Gang Ai

Keyword(s):

Point Cloud ◽

Laser Scanning ◽

Laser Scanner ◽

Digital Camera ◽

Scanning System ◽

Point Cloud Data ◽

3D Laser Scanning ◽

Large Area ◽

Cloud Data ◽

Laser Scanning System

At present, most of the commercial 3D laser scanning measurement systems do work for a large area and a big scene, but few shows their advantage in the small area or small scene. In order to solve this shortage, we design a light-small mobile 3D laser scanning system, which integrates GPS, INS, laser scanner and digital camera and other sensors, to generate the Point Cloud data of the target through data filtering and fusion. This system can be mounted on airborne or terrestrial small mobile platform and enables to achieve the goal of getting Point Cloud data rapidly and reconstructing the real 3D model. Compared to the existing mobile 3D laser scanning system, the system we designed has high precision but lower cost, smaller hardware and more flexible.

Download Full-text

The Application and Research of Terrestrial 3D Laser Scanning Technology in Tunnel Survey

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.709.465 ◽

2014 ◽

Vol 709 ◽

pp. 465-468

Author(s):

Xian Quan Han ◽

Fei Qin ◽

Zhen Zhang ◽

Shang Yi Yang

Keyword(s):

Point Cloud ◽

Laser Scanning ◽

3D Model ◽

Analysis Procedure ◽

Surface Model ◽

Point Cloud Data ◽

3D Laser Scanning ◽

Cloud Data ◽

Experimental Application ◽

Tunnel Section

This paper examines the basic flow and processing of the terrestrial 3D Laser scanning technology in the tunnel survey. The use of the method is discussed, point cloud data which have been registered, cropped can be constructed to a complete tunnel surface model. An example is given to extract the tunnel section and calculate the excavation of the tunnel. Result of the experimental application of this analysis procedure is given to illustrate the proposed technique can be flexibly used according to the need based on its 3D model. The feasibility and advantages of terrestrial 3D laser scanning technology in tunnel survey is also considered.

Download Full-text