Automatic detection of boulders by neural networks A comparison of multibeam echo sounder and side-scan sonar performance

Automatic detection of boulders by neural networks
A comparison of multibeam echo sounder and side-scan sonar performance

Neural networks show great promise in the automatic detection of boulders on the seafloor. Maps derived from bathymetric data show better performance compared to backscatter mosaics in this study. However, we find the lack of training data groundtruthed to a high standard the largest challenge for automated object detection based on acoustic data.

boulder detection | neural networks | hydrographic surveying | bathymetry | backscatter