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Lookup NU author(s): Professor Boguslaw ObaraORCiD, Dr Deepayan BhowmikORCiD
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by SPIE Digital Library, 2024.
For re-use rights please refer to the publisher's terms and conditions.
Generative Artificial Intelligence (AI) is becoming increasingly prevalent due to the availability of machine learning models, such as stable diffusion, and greater computational powers. While this has many advantages, it has led to maliciously generated images being created, and AI-generated satellite imagery is now an emerging threat. The National Geospatial-Intelligence Agency has acknowledged that AI has been utilised to manipulate satellite images for malicious purposes and is not yet widespread. However, there is a high likelihood that it will be, due to the ever-increasing prevalence of social media. This paper proposes the development of a new dataset containing satellite images that have been synthetically manipulated using generative AI models since there are currently none publicly available. We also propose a new deep-learning-based detection algorithm for such manipulation. This research supports the fight against misinformation and will help to ensure that satellite images remain an objective source of truth. The work aims to create a benchmark for detecting manipulated satellite images.
Author(s): Chapman M, Tewkesbury A, Boyd D, Obara B, Bhowmik D
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Artificial Intelligence for Security and Defence Applications II
Year of Conference: 2024
Print publication date: 13/11/2024
Online publication date: 17/09/2024
Acceptance date: 01/07/2024
Date deposited: 17/10/2024
Publisher: SPIE Digital Library
URL: https://doi.org/10.1117/12.3033974
DOI: 10.1117/12.3033974
ePrints DOI: 10.57711/r43e-jw35
