The Legacy of Sycamore Gap: the Potential of Photogrammetric AI for Reverse Engineering Lost Heritage with Crowdsourced Data

Luca Morelli,Gabriele Mazzacca,Pawel Trybala,Federica Gaspari,Francesco Ioli, Zhenyu Ma,Fabio Remondino, Keith Challis, Andrew Poad,Alex Turner,Jon P. Mills

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences（2024）

Cited 0|Views3

Key words

Artificial Intelligence,Crowdsourcing,Lost heritage,Natural heritage,Deep learning,Image matching,Photogrammetry

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined