Mr. Laszlo Soltesz Profile

Laszlo Soltesz

at Olyseus Innovations Ltd.

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 27 April 2020 Presentation

Comparison of different methods to compute Total Propagation Uncertainty for airborne bathymetric LiDAR (Conference Presentation)

Antoine Cottin, Orestis Ioannou, Laszlo Soltesz, Martin Pfennigbauer, Andrea Spitzer, Andreas Ullrich

Proceedings Volume 11410, 114100H (2020) https://doi.org/10.1117/12.2558140

KEYWORDS: LIDAR, Monte Carlo methods, Analytical research, Mathematical modeling, Statistical analysis, Matrices, Ray tracing, Systems modeling

Read Abstract +

Total Propagated Uncertainty (TPU) has been a very important topic of research and developments in the last five years in the bathymetric lidar community. To date, two models coexist to estimate the TPU of a bathymetric lidar system. One would rely on an analytical approach based on the General Law Of Propagation Of Variance (GLOPOV) whereas the other relies on a probabilistic and modeling approach based on water surface simulation, Monte Carlo and Ray-tracing principles. We propose a new hybrid method that is based on the GLOPOV and the Law of Large Number (LLN). This new approach includes several innovative mathematical concepts and computational tools that help to overcome known challenges and limitations whilst improving the computation speed. For instance, an analytical TPU estimation relies on the Jacobian and Covariance matrices associated to the LiDAR system. The estimation the Jacobian matrix, i.e. the partial derivatives of the LiDAR equation’s vector function, remains a difficult task. Therefore, we’ve developed an equation parser and a code generator tool that evaluate the partial derivatives of any equation system and produce the GPU code for its evaluation. The Covariance matrix also has its own challenges and we propose new approaches to estimate some of the sigma values. The probabilistic model based on Monte Carlo simulation and ray tracing is inherently intensive in terms of computation and therefore slow. The use of the LLN offers a scalable and robust approach to estimate parameters and coefficients of the model. Finally, we will present an attempt to adapt the Quality Factor introduce by Lurton and Augustin in 2009 for the Multibeam echosounder systems. This factor has the potential to deliver an objective way to assess the bathymetric performance of any Airborne Bathymetric Lidar based on waveform analysis.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years