卫星图像伪造的法医研究:全面调查

IF 10.7 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Artificial Intelligence Review Pub Date : 2024-08-14 DOI:10.1007/s10462-024-10909-w
Xiangling Ding, Yuchen Nie, Jizhou Yao, Jia Tang, Yubo Lang
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引用次数: 0

摘要

卫星图像是遥感应用中一个重要而有吸引力的领域,广泛应用于监测、管理和跟踪自然灾害。由于商业卫星的普及,高分辨率卫星图像的可用性越来越高。然而,图像编辑工具的普及和图像处理技术的进步使得卫星图像的伪造变得相对容易,可以任意添加、删除或修改目标对象。近年来,卫星图像伪造给国家、社会和个人带来了巨大的负面影响和潜在威胁,引起了众多学者的关注。虽然卫星图像篡改取证是一个新兴的研究领域,为信息安全领域提供了新的见解,但该领域的全面调查一直很少。本文旨在填补这一空白,研究卫星图像取证的最新进展,重点关注篡改策略和取证方法。首先,我们讨论了卫星图像的概念、从全球和本地角度对卫星图像伪造的定义以及卫星图像取证常用的数据集。然后,我们详细介绍了每种篡改检测和定位方法,包括其特点、优缺点以及在各种著名数据集上的检测或定位性能。我们还使用评估指标和公共数据集对一些具有代表性的取证网络进行了比较。最后,讨论了卫星图像伪造取证的预期未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Forensic research of satellite images forgery: a comprehensive survey

Satellite imagery is a significant and attractive area in remote sensing applications, widely applied in monitoring, managing, and tracking natural disasters. Due to the proliferation of commercial satellites, there is an increasing availability of high-resolution satellite images. However, the ubiquity of image editing tools and the advancement of image processing technologies have made satellite image forgery relatively easy, allowing for the arbitrary addition, removal, or modification of target objects. In recent years, satellite image forgery has caused significant negative effects and potential threats to the nation, society, and individuals, drawing the attention of many scholars. Although forensics of satellite image tampering is an emerging research field that offers new insights into the field of information security, there has been a scarcity of comprehensive surveys in this area. This paper aims to fill this gap and investigates recent advances in satellite image forensics, focusing on tampering strategies and forensic methodologies. First, we discuss the concept of satellite images, the definition of satellite image forgery from global and local perspectives, and the datasets commonly used for satellite image forensics. We then detail each tampering detection and localization method, including their characteristics, advantages, disadvantages, and performance in detection or localization across various notable datasets. We also compare some representative forensic networks using evaluation metrics and public datasets. Finally, the anticipated future directions for satellite image forgery forensics are discussed.

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来源期刊
Artificial Intelligence Review
Artificial Intelligence Review 工程技术-计算机:人工智能
CiteScore
22.00
自引率
3.30%
发文量
194
审稿时长
5.3 months
期刊介绍: Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.
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