Detecting Fake Aerial Imagery – call for participants

Matthew Yates is in his third year with Horizon CDT.  Partnered with the Defence Science and Technology laboratory (Dstl), Matthews’ PhD is about the detection of deep learning generated aerial images, with the final goal of improving current detection models.

Matthew is now seeking participants to take part in a short online study on detecting fake aerial images.    For more information, please read this Information sheet

Purpose: To assess the difficulty in the task of distinguishing GAN generated fake images from real aerial photos of rural and urban environments.  This is part of a larger PhD project looking at the generation and detection of fake earth observation data.

 Who can participate? This is open to anyone who would like to take part, although the involvement of people with experience dealing with related image data (e.g. satellite images, GAN images) is of particular interest.

 Commitment: The study should take between 5-15 minutes to complete and is hosted online on pavlovia.org

Link to the study here