Seeing is Not Believing: Toward Forgery Detection for Hyperspectral Image

Chih Chung Hsu, Yu An Jhang, Min Tso Ko

研究成果: Conference contribution

摘要

Amid the rapid growth of low-earth orbits (LEOs) and hyperspectral imaging (HSI) techniques, this study addresses the overlooked area of security challenges, specifically hyperspectral content manipulation or inpainting. We present HyperForensics, a novel dataset based on NASA's AVIRIS data, covering diverse scenarios across a wavelength range of 0.4 to 2.5 micrometers. To confront the challenge of detecting small manipulated regions within HSIs, we develop a detection method using a high-resolution network (HRNet) that maintains high resolution and spatial accuracy. Experiments demonstrate this approach outperforms existing methods, highlighting the critical role of spatial-spectral features in HSI forgery detection. This pioneering work in HSI forgery benchmarking and detection invites further research to enhance HSI security.

原文English
主出版物標題IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面5858-5861
頁數4
ISBN(電子)9798350320107
DOIs
出版狀態Published - 2023
事件2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States
持續時間: 2023 7月 162023 7月 21

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
2023-July

Conference

Conference2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
國家/地區United States
城市Pasadena
期間23-07-1623-07-21

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 一般地球與行星科學

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