A novel approach to discriminate sedimentary characteristics of deltaic tidal flats with terrestrial laser scanner (TLS): Results from a case study

Sedimentology ◽  
2022 ◽  
Author(s):  
Jie Wang ◽  
Zhijun Dai ◽  
Sergio Fagherazzi ◽  
Chuqi Long
Keyword(s):  
Laser Scanner ◽  
Tidal Flats ◽  
Terrestrial Laser Scanner ◽  
Sedimentary Characteristics ◽  
Novel Approach

scholarly journals On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner. Case Study: B-Spline Approximation

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2964 ◽  
Author(s):  
Gaël Kermarrec ◽  
Hamza Alkhatib ◽  
Ingo Neumann
Keyword(s):  
Stochastic Model ◽  
Good Description ◽  
Spline Approximation ◽  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
Case Scenario ◽  
Constant Variance ◽  
Power Law Function ◽  
Stochastic Properties

For a trustworthy least-squares (LS) solution, a good description of the stochastic properties of the measurements is indispensable. For a terrestrial laser scanner (TLS), the range variance can be described by a power law function with respect to the intensity of the reflected signal. The power and scaling factors depend on the laser scanner under consideration, and could be accurately determined by means of calibrations in 1d mode or residual analysis of LS adjustment. However, such procedures complicate significantly the use of empirical intensity models (IM). The extent to which a point-wise weighting is suitable when the derived variance covariance matrix (VCM) is further used in a LS adjustment remains moreover questionable. Thanks to closed loop simulations, where both the true geometry and stochastic model are under control, we investigate how variations of the parameters of the IM affect the results of a LS adjustment. As a case study, we consider the determination of the Cartesian coordinates of the control points (CP) from a B-splines curve. We show that a constant variance can be assessed to all the points of an object having homogeneous properties, without affecting the a posteriori variance factor or the loss of efficiency of the LS solution. The results from a real case scenario highlight that the conclusions of the simulations stay valid even for more challenging geometries. A procedure to determine the range variance is proposed to simplify the computation of the VCM.

scholarly journals Tree Parameters retrieval and volume estimation using Terrestrial Laser Scanner: A case Study on Barkot Forest

2019 ◽  
Author(s):  
Rajarshi Bhattacharjee ◽  
Amitesh Gupta ◽  
Dr. Subrata Nandy ◽  
Triparna Sett
Keyword(s):  
Laser Scanner ◽  
Volume Estimation ◽  
Terrestrial Laser Scanner

scholarly journals 4D Monitoring of Active Sinkholes with a Terrestrial Laser Scanner (TLS): A Case Study in the Evaporite Karst of the Ebro Valley, NE Spain

2018 ◽  
Vol 10 (4) ◽  
pp. 571 ◽  
Author(s):  
Alfonso Benito-Calvo ◽  
Francisco Gutiérrez ◽  
Adrián Martínez-Fernández ◽  
Domingo Carbonel ◽  
Theodoros Karampaglidis ◽  
...  
Keyword(s):  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
Ebro Valley ◽  
Evaporite Karst ◽  
Ne Spain

scholarly journals SYMBIOSIS OF UAS PHOTOGRAMMETRY AND TLS FOR SURVEYING AND 3D MODELING OF CULTURAL HERITAGE MONUMENTS - A CASE STUDY ABOUT THE CATHEDRAL OF ST. NICHOLAS IN THE CITY OF GREIFSWALD

2015 ◽  
Vol XL-1/W4 ◽  
pp. 91-96 ◽  
Author(s):  
G. J. Grenzdörffer ◽  
M, Naumann ◽  
F. Niemeyer ◽  
A. Frank
Keyword(s):  
Cultural Heritage ◽  
3D Modeling ◽  
Laser Scanner ◽  
Measurement Methods ◽  
Terrestrial Laser Scanner ◽  
High Quality ◽  
Standard Deviations ◽  
The City

In this contribution the possibility to combine terrestrial laser scanner (TLS) measurements and UAS photogrammetry for the detailed description and high quality surveying of a cultural monument will be illustrated by the example of the Cathedral of St. Nicholas in the city of Greifswald. Due to the different nature of UAS photogrammetry and TLS walls and windows as well as portions of roofs are captured with a different level of completeness and accuracy. The average deviations of the test areas on the overlap between the two measurement methods ranges from 0.015 m to 0.033 m with standard deviations of 0.025 m to 0.088 m.

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