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Automatic Change Detection from High-Resolution Satellite Imagery

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Remote Sensing for Archaeology and Cultural Landscapes

Part of the book series: Springer Remote Sensing/Photogrammetry ((SPRINGERREMO))

Abstract

Change detection using remote sensing data is one of the most essential processing steps for monitoring urban and forest areas. And it provides an invaluable tool for archaeological sites in times of war or natural disasters. However, until now the visual interpretation is still the main technique in analyzing changes from these images. In this chapter, the state of the art of the change detection on archaeology applications and the latest change detection techniques in 2D and 3D are introduced.

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Authors and Affiliations

  1. German Aerospace Center (DLR), Remote Sensing Technology Institute, Weßling, Germany

    Thomas Krauß & Jiaojiao Tian

Authors
  1. Thomas Krauß
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  2. Jiaojiao Tian
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Corresponding author

Correspondence to Thomas Krauß .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Limassol, Cyprus

    Diofantos G. Hadjimitsis

  2. Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Limassol, Cyprus

    Kyriacos Themistocleous

  3. Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Limassol, Cyprus

    Branka Cuca

  4. Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Limassol, Cyprus

    Athos Agapiou

  5. Department of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Limassol, Cyprus

    Vasiliki Lysandrou

  6. Institute of Methodologies for Environmental Analysis, CNR-IMAA (Italy), Tito Scalo, Potenza, Italy

    Rosa Lasaponara

  7. Institute of Archaeological and Monumental Heritage, CNR-IBAM (Italy), Tito Scalo, Potenza, Italy

    Nicola Masini

  8. Earth Observation Center (EOC), German Aerospace Center (DLR), Wessling, Germany

    Gunter Schreier

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Krauß, T., Tian, J. (2020). Automatic Change Detection from High-Resolution Satellite Imagery. In: Hadjimitsis, D., et al. Remote Sensing for Archaeology and Cultural Landscapes. Springer Remote Sensing/Photogrammetry. Springer, Cham. https://doi.org/10.1007/978-3-030-10979-0_4

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