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Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis

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Advances in Visual Computing (ISVC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3804))

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Abstract

We describe a method for indexing and retrieving high-resolution image regions in large geospatial data libraries. An automated feature extraction method is used that generates a unique and specific structural description of each segment of a tessellated input image file. These tessellated regions are then merged into similar groups and indexed to provide flexible and varied retrieval in a query-by-example environment.

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Author information

Authors and Affiliations

  1. Image Science and Machine Vision Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee, 37831-6010

    Kenneth W. Tobin, Thomas P. Karnowski & Jeffery R. Price

  2. Geographic Information Science and Technology Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee, 37831-6017

    Budhendra L. Bhaduri, Eddie A. Bright & Anil Cheriyadat

  3. Applied Software Engineering Research Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee, 37831-6085

    Paul J. Palathingal & Thomas E. Potok

Authors
  1. Kenneth W. Tobin
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  2. Budhendra L. Bhaduri
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  3. Eddie A. Bright
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  4. Anil Cheriyadat
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  5. Thomas P. Karnowski
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  6. Paul J. Palathingal
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  7. Thomas E. Potok
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  8. Jeffery R. Price
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, CA, USA

    Richard Boyle

  3. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  4. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Bahram Parvin

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© 2005 Springer-Verlag Berlin Heidelberg

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Tobin, K.W. et al. (2005). Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_66

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  • DOI: https://doi.org/10.1007/11595755_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30750-1

  • Online ISBN: 978-3-540-32284-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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