Skip to main content

Processing Remotely Sensed Data: Hardware and Software Considerations

  • Chapter
Book cover Remote Sensing in Hydrology and Water Management

Abstract

Analog and digital remotely sensed data are used operationally in many hydrologic and water management applications. Analog remotely sensed data (e.g. aerial photographs) are routinely analyzed visually using optical instruments such as stereoscopes. Digital remote sensor data are analyzed using a digital image processing system that consists of both hardware and software.This chapter introduces fundamental:

  • image processing system characteristics,

  • image processing (and some GIS) software requirements, and

  • commercial and public providers of digital image processing systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Asrar, G. and R. Greenstone: Mission to planet Earth EOS reference handbook, Washington, DC: NASA, 1996.

    Google Scholar 

  • Berry, F. C.: Inventing the future: how science and technology transform our world. Washington, DC: Brassey’s 1993.

    Google Scholar 

  • Bishop, M. P: Scale-dependent analysis of satellite imagery for characterization of glaciers in the Karakoram Himalaya. Geomorphology, 21:217–232 (1998).

    Article  Google Scholar 

  • Bryan, J.: Compression scorecard. Byte 20,107–111 (1995).

    Google Scholar 

  • Busbey, A. B. et al.: Image processing approaches using the Macintosh. Photogrammetric Engineering & Remote Sensing 58,1665–1668 (1992).

    Google Scholar 

  • Cowen, D. J. et al.: The design and implementation of an integrated geographic information system for environmental applications. Photogrammetric Engineering & Remote Sensing 61, 1393–1404 (1995).

    Google Scholar 

  • Davis, B.: Hydrology and topography mapping from digital elevation data, CRAY Channels 15, 4–7 (1993).

    Google Scholar 

  • Denning, P. J.: RISC architecture. American Scientist 81, 7–10 (1993).

    Google Scholar 

  • Earnshaw, R. A. et al.: An introductory guide to scientific visualization. New York: Springer-Verlag 1992.

    Book  Google Scholar 

  • EDC: Correspondence with EROS data center personnel, Sioux Falls, S. D. (1995).

    Google Scholar 

  • Faust, N. L. et al.: Geographic information systems and remote sensing future computing environment. Photogrammetric Engineering and Remote Sensing 57, 655–668 (1991).

    Google Scholar 

  • Firestone, L. et al.: Automated feature extraction: the key to future productivity. Photogrammetric Engineering & Remote Sensing 62, 671–674 (1996).

    Google Scholar 

  • FGDC: The Value of METADATA. Reston, DC: Federal Geographic Data Committee 1998

    Google Scholar 

  • Foley, J. D. et al.: Introduction to computer graphics. N. Y.: Addison-Wesley 1994.

    Google Scholar 

  • Freedman, A.: The computer glossary. N. Y.: American Mgt. Assoc., 7th ed. 1995.

    Google Scholar 

  • Greve, C. W. et al.: Image processing on open systems. Photogrammetric Engineering & Remote Sensing 58, 85–89(1992).

    Google Scholar 

  • Jahne, B.: Digital image processing. Heidelberg: Springer-Verlag 1991.

    Google Scholar 

  • Jensen, J. R.: President’s inaugural address. Photogrammetric Engineering & Remote Sensing 10, 835–840 (1995a).

    Google Scholar 

  • Jensen, J. R.: Issues involving the creation of digital elevation models and terrain corrected orthoimagery using soft-copy photogrammetry. Geocarto International — A Multidisciplinary Journal of Remote Sensing and GIS 10, 5–21 (1995b).

    Google Scholar 

  • Jensen, J. R: Introductory digital image processing: a remote sensing perspective. Saddle River, NJ: Prentice-Hall, 2nd ed. (1996).

    Google Scholar 

  • Jensen, J. R.: Issues involving the creation of digital elevation models and terrain corrected orthoimagery using soft-copy photogrammetry. In: Greve, C. (Ed): Manual of Photogrammetry Addendum. Bethesda, MD: American Society for Photogrammetry & Remote Sensing (1997).

    Google Scholar 

  • Jensen, J. R. and F. Qiu: A neural network based system for visual landscape interpretation using high resolution remotely sensed imagery. Proceedings, Annual Meeting of the American Society for Photogrammetry & Remote Sensing, Tampa, FL: CD: 15 (1998).

    Google Scholar 

  • Jensen, J. R. et al.: Remote sensing image browse and archival systems. Geocarto Intl. — A Multi- disciplinary Journal of Remote Sensing and GIS 11, 33–42 (1996).

    Google Scholar 

  • Jensen, J. R. et al.: Improved remote sensing and GIS reliability diagrams, image genealogy diagrams, and thematic map legends to enhance communication. International Archives of Photogrammetry and Remote Sensing 6, 125–132 (1992).

    Google Scholar 

  • Kodak: Correspondence with Kodak aerial systems division, Rochester, NY (1995).

    Google Scholar 

  • Lanter, D. P. et al.: A research paradigm for propagating error in layer-based GIS. Photogrammetric Engineering & Remote Sensing 58, 825–833 (1992).

    Google Scholar 

  • Lammi, J. et al.: Image compression by the JPEG algorithm. Photogrammetric Engineering & Remote Sensing 61, 1261–1266 (1995).

    Google Scholar 

  • Lulla, K.: Availability of NASA’s earth observation images via electronic media. Geocarto Intl. — A Multidisciplinary Journal of Remote Sensing & GIS 10, 65–66 (1995).

    Google Scholar 

  • Lunetta, R. S. et al.: Remote sensing and geographic information system data integration: error sources and research issues. Photogrammetric Engineering & Remote Sensing 57, 677–687 (1991).

    Google Scholar 

  • Mazlish, B.: The fourth discontinuity: the co-evolution of humans and machines. New Haven, CN: Yale University Press 1993.

    Google Scholar 

  • Miller, R. L. et al.: C coast: a PC-based program for the analysis of coastal processes using NOAA CoastWatch data. Photogrammetric Engineering & Remote Sensing 60, 155–159 (1994).

    Google Scholar 

  • Nelson, L. J.: Wavelet-based image compression: commercializing the capabilities. Advanced Imaging 11, 16–18(1996).

    Google Scholar 

  • Normile, D.: Get set for the super disc. Popular Science 96, 55–58 (1996).

    Google Scholar 

  • Pennebaker, W. B. et al.: JPEG: still image data compression standard. New York: Van Nostrand Reinhold 1993.

    Google Scholar 

  • Rothenberg, J.: Ensuring the longevity of digital documents. Scientific American 272, 42–47 (1995).

    Article  Google Scholar 

  • Russ, J. C.: The image processing handbook. Boca Raton, FL: CRC Press 1992.

    Google Scholar 

  • Sayood, K.: Introduction to data compression. San Francisco: Morgan Kaufmann Publishers 1996.

    Google Scholar 

  • Spooner, J. G., Next Celeron to merge graphics, audio, PC Week, April 26,1999.

    Google Scholar 

  • Thorpe, J.: Aerial photography and satellite imagery: competing or complementary? Earth Observation Magazine June, 35–39 (1996).

    Google Scholar 

  • Ubois, J.: The internet today. SunWorld April, 90–95 (1996).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Jensen, J.R. (2000). Processing Remotely Sensed Data: Hardware and Software Considerations. In: Schultz, G.A., Engman, E.T. (eds) Remote Sensing in Hydrology and Water Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59583-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-59583-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64036-0

  • Online ISBN: 978-3-642-59583-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics