Open Access
Comparative Analysis between Bathymetry and Backscatter Underwater Object Detection
Author(s) -
Raiz Razali,
Muhammad Syafiq Jasmee,
Norlin Khalid
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/767/1/012035
Subject(s) - bathymetry , underwater , sonar , remote sensing , backscatter (email) , geology , computer science , object (grammar) , object detection , artificial intelligence , pattern recognition (psychology) , oceanography , telecommunications , wireless
Hydrography with respect to the various non-navigation purposes comprises the depictions of maritime features. For a progressively secure route and different applications, the emergence of sonar and swath echosounders currently enables more complete and a detailed description. It is absolutely difficult to find any features at any point in depth in such a way that the IHO has indicated the negligible size for the features to be found and estimated in a region. These activities and exercises are called detecting seafloor characteristics. For the purpose of distinguishing and recognizing, the features characteristic detection may also be utilized which are important to other navigators, for example, wellheads and mine-like attributes. The latter might not have been of navigational significance yet but are, nevertheless, of centrality to those concerned. In the event that the unwavering quality of multibeam on object identification study could be demonstrated or possibly its blunder could be found and has determined it’s constant. The multibeam could be broadly utilized for future ventures. By directing this examination study, the MBES data would be able to be evaluated and the capability extents of this data could be assessed. Thus, this study is aimed to analyse the accuracy of underwater object detection between bathymetry map and backscattered image derived from MBES data. The obtained results have shown that object detection from bathymetry maps have slightly better visualization grade than backscatter images with a near perfection grade of 4.8.