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Extracting Hot Spots from Satellite Data

  • Hideyuki Kawashima
  • Chunyong Wang
  • Hiroyuki Kitagawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7338)

Abstract

With the advances of sensing technologies, massive amount of scientific data have been collected and analyzed in these days. LSST generates 20 TB per night, LHC generates 15 PB per year, and an earth observation satellite sensor data related to GEO-Grid [1] has generated more than 170 TB so far. ASTER sensor data are high resolution image data provided GEO-Grid.

Keywords

Digital Elevation Model Optical Sensor Steel Plant Remote Sensing Image Terra Satellite 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
  2. 2.
  3. 3.
    Susaki, J.: Remote Sensing Image Data Processing by GRASS (in Japanese), http://www.envinfo.uee.kyoto-u.ac.jp/user/susaki/grass/grass3.html
  4. 4.
    Takagi, T., Kawashima, H., Amagasa, T., Kitagawa, H.: Providing constructed buildings information by ASTER satellite DEM images and web contents. In: Proc. DIEW Workshop in Conjunction with DASFAA (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hideyuki Kawashima
    • 1
  • Chunyong Wang
    • 1
  • Hiroyuki Kitagawa
    • 1
  1. 1.University of TsukubaTsukubaJapan

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