Lina Maria Stausberg

University of Bonn | Uni Bonn · Institute of Geodesy and Geoinformation (IGG)

Spatio–temporal determination of phenotypic traits, such as height, leaf angles, and leaf area, is important for the understanding of crop growth and development in modern agricultureand crop science. Measurements of these parameters for individual plants so far have been possible only in greenhouse environments using high-resolution 3D measurement...

Plant phenotyping is a central task in crop science and plant breeding. Since standard methods often require time-consuming and manual observations it is indispensable to develop automatic, sensor driven methods which offer objective and fast information. Many methods rely on camera systems [2], ranging from RGB to hyper-spectral cameras. In recent...

We evaluate the significance of a recently proposed bivariate jump- diffusion model for a data-driven characterization of interactions between complex dynamical systems. For various coupled and non-coupled jump-diffusion processes, we find that the inevitably finite sampling interval of time-series data negatively affects the reconstruction accurac...

We evaluate the significance of a recently proposed bivariate jump-diffusion model for a data-driven characterization of interactions between complex dynamical systems. For various coupled and non-coupled jump-diffusion processes, we find that the inevitably finite sampling interval of time-series data negatively affects the reconstruction accuracy...

Data sampled at discrete times appears as a succession of discontinuous jumps, even if the underlying trajectory is continuous. We analytically derive a criterion that allows one to check whether for a given, even noisy time series the underlying process has a continuous (diffusion) trajectory or has jump discontinuities. This enables one to detect...