Our objective is to focus on three areas of application research and transitions. First, we will transition our machine learning-based algorithms and computer code for the determination of bathymetry, bottom type, and water column Inherent Optical Properties from HyperSpectral Imagery (HSI) into a deliverable Message Passing Interface (MPI) program that may be easily used by other research and ...

Multibeam sonar (MBS) systems are recognised as one of the most effective tools available to map and characterise the seafloor as they can provide co-located high-resolution bathymetry and acoustic backscatter characteristics from a wide swath across a vessel’s track. While the production of bathymetry maps from MBS is well developed, processing and analysis of MBS backscatter data has not yet ...

We evaluate the performance of full waveform LiDAR decomposition algorithms with a high-resolution single band airborne LiDAR bathymetry system in shallow rivers. A continuous wavelet transformation (CWT) is proposed and applied in two fluvial environments, and the results are compared to existing echo retrieval methods. LiDAR water depths are also compared to independent field measurements. In...

Abstract Background Patients with injection drug use (IDU) have increased risk of developing infective endocarditis (IE). Previous studies reported recurrent IE, duration hospital stay, poor adherence and compliance as well higher mortality worse outcomes after surgery in the IDU-IE patient group. Further are needed to provide a basis for optimized care prevention readmissions this population. ...