mlsanityData to 7 Oct 2026

An Overview on the Generation and Detection of Synthetic and Manipulated Satellite Images

arXiv 2209.08984 ↗First posted 19 Sep 2022cs.CV eess.IVcited by 3

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Abstract (arXiv)

Due to the reduction of technological costs and the increase of satellites launches, satellite images are becoming more popular and easier to obtain. Besides serving benevolent purposes, satellite data can also be used for malicious reasons such as misinformation. As a matter of fact, satellite images can be easily manipulated relying on general image editing tools. Moreover, with the surge of Deep Neural Networks (DNNs) that can generate realistic synthetic imagery belonging to various domains, additional threats related to the diffusion of synthetically generated satellite images are emerging. In this paper, we review the State of the Art (SOTA) on the generation and manipulation of satellite images. In particular, we focus on both the generation of synthetic satellite imagery from scratch, and the semantic manipulation of satellite images by means of image-transfer technologies, including the transformation of images obtained from one type of sensor to another one. We also describe forensic detection techniques that have been researched so far to classify and detect synthetic image forgeries. While we focus mostly on forensic techniques explicitly tailored to the detection of AI-generated synthetic contents, we also review some methods designed for general splicing detection, which can in principle also be used to spot AI manipulate images

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 38 of its 121 references that are in the map. First posted on arXiv 19 Sep 2022.

Builds on

38 of 121 references.

References · 38

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Cited by year

Citing papers per year: 2023: 1; 2024: 2.

3 papers.

  1. 2024Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectivescited by 27
  2. 2023Comprehensive Dataset of Synthetic and Manipulated Overhead Imagery for Development and Evaluation of Forensic Toolscited by 5
  3. 2024Hiding Local Manipulations on SAR Images: a Counter-Forensic Attackcited by 1