Multibeam Echosounder Simulator Applying Noise Generator for the Purpose of Sea Bottom Visualisation
نویسندگان
چکیده
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 the vertical line could be observed as well. The results of the experiments will help to increase the accuracy of terrain modeling of the sea bottom what will result in more realistic visualizations.The results of those experiments were implemented in the multibeam echosounder simulator.
منابع مشابه
Delft University of Technology Performance of Multibeam Echosounder Backscatter-Based Classification for Monitoring Sediment Distributions Using Multitemporal Large-Scale Ocean Data Sets
متن کامل
Impact Des Signaux Modules Sur La Precision Des Mesures Bathymetriques Issues De Sondeurs Multifaisceaux - Modulated Signal Impact on Multibeam Echosounder Bathymetry
متن کامل
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 ...
متن کاملComprehensive Detection of Gas Plumes from Multibeam Water Column Images with Minimisation of Noise Interferences
Multibeam echosounder systems (MBES) can record backscatter strengths of gas plumes in the water column (WC) images that may be an indicator of possible occurrence of gas at certain depths. Manual or automatic detection is generally adopted in finding gas plumes, but frequently results in low efficiency and high false detection rates because of WC images that are polluted by noise. To improve t...
متن کاملA Comparison of Supervised Classification Methods for the Prediction of Substrate Type Using Multibeam Acoustic and Legacy Grain-Size Data
Detailed seabed substrate maps are increasingly in demand for effective planning and management of marine ecosystems and resources. It has become common to use remotely sensed multibeam echosounder data in the form of bathymetry and acoustic backscatter in conjunction with ground-truth sampling data to inform the mapping of seabed substrates. Whilst, until recently, such data sets have typicall...
متن کامل