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Overview of Wave Probe-Based High-Resolution Subsurface Sensing, Imaging, and Vision

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Methods and Applications of Artificial Intelligence (SETN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2308))

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Abstract

We propose a general paradigm for image formation from data collected by wave-based sensory probes of subsurface structures. We discuss methodologies that are directly applicable in several robotic subsurface sensing, imaging, and vision technologies, including buried waste clean-up, excavation planning, de-mining, archaeological investigations, environmental pollution monitoring, water quality assessment, etc. The proposed methodologies are, therefore, crucial in the development of automated robotic vision systems. A large number of references to the relevant literature are included.

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Piraeus, 185 34, Piraeus, Greece

    George A. Tsihrintzis & Konstantinos G. Girtis

Authors
  1. George A. Tsihrintzis
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  2. Konstantinos G. Girtis
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Editor information

Editors and Affiliations

  1. Dept. of Informatics, Aristotle University of Thessaloniki, 54006, Thessaloniki, Greece

    Ioannis P. Vlahavas

  2. N.C.S.R. “Demokritos”, Inst. of Informatics & Telecommunications Software and Knowledge Engineering Lab, 15310, Aghia Paraskevi, Greece

    Constantine D. Spyropoulos

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© 2002 Springer-Verlag Berlin Heidelberg

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Tsihrintzis, G.A., Girtis, K.G. (2002). Overview of Wave Probe-Based High-Resolution Subsurface Sensing, Imaging, and Vision. In: Vlahavas, I.P., Spyropoulos, C.D. (eds) Methods and Applications of Artificial Intelligence. SETN 2002. Lecture Notes in Computer Science(), vol 2308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46014-4_34

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  • DOI: https://doi.org/10.1007/3-540-46014-4_34

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  • Print ISBN: 978-3-540-43472-6

  • Online ISBN: 978-3-540-46014-5

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