Patents
The invention relates to a novel system for seafloor classification using Artificial Neural Network (ANN) hybrid layout with the use of unprocessed multi-beam backscatter data and more importantly, this invention relates to a real-time seafloor roughness classifier using backscatter data after training the Self-Organized Mapping (SOM) network and Learning Vector Quantization (LVQ) network wherein, the system of the invention has the unique capability for the combined use of unsupervised SOM followed by supervised LVQ to achieve a highly improved performance in the said roughness classification, which was hitherto non-existent and has the additional capability for the use of a combination of the two variants of the LVQ layout to work together to achieve the best results in seafloor roughness classification.