High‐frequency multibeam echosounder classification for rapid environmental assessment

Automatic Statistical Processing of Multibeam Echosounder Data

This paper presents the CUBE (Combined Uncertainty and Bathymetry Estimator) algorithm. Our aim is to take advantage of statistical redundancy in dense Multibeam Echosounder data to identify outliers while tracking the uncertainty associated with the estimates that we make of the true depth in the survey area. We recognize that a completely automatic system is improbable, but propose that signi...

The Development of the Multibeam Echosounder: A Historical Account

me first paper on narrow-beam echosounding was published in 1960. Since then, the advantages of the principle of multibeam swath bathymetry for seabed mapping have been recognized by many institutions working in the field of underwater area mapping. We intend to review some of the developments the multibcam cchosoundcr has undergone in order to better understand the challenges facing the field ...

Development of a Method for the Estimation of Multibeam Echosounder Measurement Accuracy

This article presents a method developed for the estimation of measurement error values (and their distribution) that occur in the process of marine sounding by a multibeam echosounder. The method, based on real data obtained in a specific marine environment, yields much more precise information on measuring instrument accuracy. The author also describes research done on a test set of more than...

Multibeam Echosounder Simulator Applying Noise Generator for the Purpose of Sea Bottom Visualisation

Hydroacoustic data form almost the only basis for seabed imaging [1]. The accuracy of scanning devices is therefore crucial for the reliability of the images. In the paper, the precision of the Simrad EM3000 multibeam echosounder was examined by means of statistical methods on real data. The maximum and mean errors were estimated, the correlation of error value and angle between the beam and th...

Delft University of Technology Performance of Multibeam Echosounder Backscatter-Based Classification for Monitoring Sediment Distributions Using Multitemporal Large-Scale Ocean Data Sets