Manipulation Detection in Satellite Images Using Vision Transformer [article]

János Horváth, Sriram Baireddy, Hanxiang Hao, Daniel Mas Montserrat, Edward J. Delp
2021 arXiv   pre-print
A growing number of commercial satellite companies provide easily accessible satellite imagery. Overhead imagery is used by numerous industries including agriculture, forestry, natural disaster analysis, and meteorology. Satellite images, just as any other images, can be tampered with image manipulation tools. Manipulation detection methods created for images captured by "consumer cameras" tend to fail when used on satellite images due to the differences in image sensors, image acquisition, and
more » ... processing. In this paper we propose an unsupervised technique that uses a Vision Transformer to detect spliced areas within satellite images. We introduce a new dataset which includes manipulated satellite images that contain spliced objects. We show that our proposed approach performs better than existing unsupervised splicing detection techniques.
arXiv:2105.06373v1 fatcat:gdz4x2idkfanzcpi5te563k66e