Manipulation Detection in Satellite Images Using Deep Belief Networks [article]

János Horváth, Daniel Mas Montserrat, Hanxiang Hao, Edward J. Delp
2020 arXiv   pre-print
Satellite images are more accessible with the increase of commercial satellites being orbited. These images are used in a wide range of applications including agricultural management, meteorological prediction, damage assessment from natural disasters, and cartography. Image manipulation tools including both manual editing tools and automated techniques can be easily used to tamper and modify satellite imagery. One type of manipulation that we examine in this paper is the splice attack where a
more » ... egion from one image (or the same image) is inserted (spliced) into an image. In this paper, we present a one-class detection method based on deep belief networks (DBN) for splicing detection and localization without using any prior knowledge of the manipulations. We evaluate the performance of our approach and show that it provides good detection and localization accuracies in small forgeries compared to other approaches.
arXiv:2004.12441v1 fatcat:efjllje4frgnnham2qs7wdufwm