Prospecting for Australia's Submerged Landscapes through Machine Learning. This project aims to apply machine learning to image-based seabed surveys to prospect for submerged Aboriginal archaeological

Description

Prospecting for Australia's Submerged Landscapes through Machine Learning. This project aims to apply machine learning to image-based seabed surveys to prospect for submerged Aboriginal archaeological sites, beginning with both of Australia’s only known sites. This will be the first attempt globally to develop a technique to pinpoint potential archaeological material within large area surveys, tagging features which can then be tested through scientific diving. Expected outcomes are workflows that pair machine learning algorithms, marine robotics and scientific diving to greatly enhance prospecting efficiency. This will enhance knowledge and benefit management of these resources on Australia’s continental shelf and beyond, reducing the impacts of offshore industry on cultural heritage.. Scheme: Discovery Early Career Researcher Award. Field: 2101 - Archaeology. Lead: Dr John McCarthy