2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDIFS-2.4
Paper Title OPEN-SET SOURCE ATTRIBUTION FOR PANCHROMATIC SATELLITE IMAGERY
Authors Edoardo Daniele Cannas, Politecnico di Milano, Italy; Sriram Baireddy, Emily Bartusiak, Sri Kalyan Yarlagadda, Daniel Mas Montserrat, Purdue University, United States; Paolo Bestagini, Stefano Tubaro, Politecnico di Milano, Italy; Edward Delp, Purdue University, United States
SessionIFS-2: Information Forensics and Security
LocationArea K
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Information Forensics and Security: Multimedia forensics
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Abstract In the last few years, several companies started offering the possibility of buying different kinds of overhead images acquired by satellites orbiting around the planet. This market is interesting for several customers, from those who simply fancy a shot of their house from the space, to those aiming to acquire strategic information on portions of land. Due to the sensitive nature of this data, which can be maliciously altered by anyone, the forensic community has started investigating methodologies to verify overhead imagery authenticity and integrity. Within this context, in this paper we investigate the possibility of using Convolutional Neural Networks (CNNs) to attribute a panchromatic satellite image to the satellite used to acquire it. In our investigation we tackle both closed-set and, adapting Deep Ensemble (DE) and Monte Carlo Dropout (MCD) techniques, open-set image attribution problems.