In the last decade artificial intelligence has started assisting researchers in performing complex computational operations, providing scholars with the possibility to analyze datasets so far considered too large or too complex to be surveyed by humans. The exponential development and diffusion of new data-acquisition technologies, the expansion of the world wide web and the increased availability of large datasets of heterogeneous spatial geographic information, opened incredible opportunities for geo-scientists to explore and define novel investigation approaches. this project will develop an investigation approach based on the systematic training of highly intelligent machines for detecting scattered archaeological elements visible in different datase