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Satellite Image Forgery Detection Based on Buildings Shadows Analysis

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Analysis of Images, Social Networks and Texts (AIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10716))

Abstract

Satellite images are to be effectively protected nowadays. There are a lot of ways of changing image content to hide important information: resampling, copy-move, object replacement and other attacks. When these changes are applied to satellite data inclination angles of shadows can be also changed. We propose a new method for satellite image forgery detection based on the analysis of high buildings shadows inclination angles on high resolution snapshots (0.5 m and less). In the proposed solution, the shadows are detected using Canny edge detector with further edge tracing. The comparison of both edge detection methods is presented in the experiments section. The next step is shadows inclination angles estimation using special model-oriented descriptors. The experiments show high accuracy of changed areas detection.

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Author information

Authors and Affiliations

  1. Samara National Research University, Samara, Russia

    Andrey Kuznetsov & Vladislav Myasnikov

  2. Image Processing Systems Institute, Branch of the Federal Scientific Research Centre Crystallography and Photonics, Russian Academy of Sciences, Samara, Russia

    Andrey Kuznetsov & Vladislav Myasnikov

Authors
  1. Andrey Kuznetsov
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  2. Vladislav Myasnikov
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Corresponding author

Correspondence to Andrey Kuznetsov .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Wil M.P. van der Aalst

  2. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  3. Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  4. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  5. Skolkovo Institute of Science and Technology, Moscow, Russia

    Victor Lempitsky

  6. National Research University Higher School of Economics, Moscow, Russia

    Irina A. Lomazova

  7. Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  8. LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

    Amedeo Napoli

  9. University of Hamburg, Hamburg, Germany

    Alexander Panchenko

  10. University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

  11. National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  12. Indiana University, Bloomington, Indiana, USA

    Stanley Wasserman

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Cite this paper

Kuznetsov, A., Myasnikov, V. (2018). Satellite Image Forgery Detection Based on Buildings Shadows Analysis. In: van der Aalst, W., et al. Analysis of Images, Social Networks and Texts. AIST 2017. Lecture Notes in Computer Science(), vol 10716. Springer, Cham. https://doi.org/10.1007/978-3-319-73013-4_21

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  • DOI: https://doi.org/10.1007/978-3-319-73013-4_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73012-7

  • Online ISBN: 978-3-319-73013-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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