Xiangling Ding, Yuchen Nie, Jizhou Yao, Jia Tang, Yubo Lang
{"title":"卫星图像伪造的法医研究:全面调查","authors":"Xiangling Ding, Yuchen Nie, Jizhou Yao, Jia Tang, Yubo Lang","doi":"10.1007/s10462-024-10909-w","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":8449,"journal":{"name":"Artificial Intelligence Review","volume":null,"pages":null},"PeriodicalIF":10.7000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10462-024-10909-w.pdf","citationCount":"0","resultStr":"{\"title\":\"Forensic research of satellite images forgery: a comprehensive survey\",\"authors\":\"Xiangling Ding, Yuchen Nie, Jizhou Yao, Jia Tang, Yubo Lang\",\"doi\":\"10.1007/s10462-024-10909-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":8449,\"journal\":{\"name\":\"Artificial Intelligence Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.7000,\"publicationDate\":\"2024-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10462-024-10909-w.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence Review\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10462-024-10909-w\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence Review","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s10462-024-10909-w","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
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.
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.