Skip to main content

Gems: A Microcomputer-Based Expert System for Digital Image Data

  • Chapter
Quantitative Analysis of Mineral and Energy Resources

Part of the book series: NATO ASI Series ((ASIC,volume 223))

  • 345 Accesses

Abstract

Digital images recorded by satellite-based sensor systems provide an inexpensive and widely available source of data for the compilation of preliminary geologic maps. An expert system which uses reasoning techniques and incorporates comprehensive knowledge in its classification rules can extract information about rock-types from digital images. Today’s microcomputers are powerful enough to address digital image analysis problems and are inexpensive enough to be standard equipment. The Geological Exploration and Mapping System (GEMS) is a microcomputer-based expert system that analyzes multispectral digital images typically obtained from satellite sensors. The menu structure of GEMS is designed to allow fast, error-free selection of program functions. In addition to that, an on-line help capability, graphical representation of objects, instructions, and messages make the system simple to use. GEMS is divided into two major segments: the user/computer interface which handles the communications between the user and the machine, and the applications segment which includes a digital-image-analysis program. This program contains three modules: one to produce a descriptive report, another to generate a gray tone image of the data, and a third to classify rock-types and plot maps. GEMS can help geologists planning exploration, by developing a preliminary lithologic map.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Charniak, E., and McDermott, D., 1985, Introduction to Artificial Intelligence, Addison-Wesley, Reading, MA.

    Google Scholar 

  • Duda, R.O., and Gaschnig, J.G., 1985, ‘Knowledge-Based Expert Systems Come of Age,’ Applications in Artificial Intelligence, Andriole, S.J., ed., Petrocelli Books, Inc., Princeton, NJ, pp. 45–85.

    Google Scholar 

  • Haralick, R.M., and Fu, K.S., 1983, ‘Pattern Recognition and Classification,’ Manual of Remote Sensing, Simonett, D.S., ed., second Edition, Vol. 1, ASP, Falls Church, VA, pp.793–805.

    Google Scholar 

  • Harmon, P., and King, D., 1985, Expert Systems, John Wiley & Son, New York.

    Google Scholar 

  • Krajewski, R., 1985, ‘Multiprocessing: An Overview,’ BYTE, Vol. 10, No. 5, pp. 171–181.

    Google Scholar 

  • McKeown, D.M.,Jr., Harvey, W.A., and Mermott, J, 1984, ‘Rule Based Interpretation of Aerial Imagery,’ Proceedings: IEEE Workshop on Principles of Knowledge-Based Systems, IEEE Computer Society, Denver, CO., pp. 145–157.

    Google Scholar 

  • Papacharalampos, D., and Koch, G. S.,Jr., 1986, ‘Automating Rock-Type Classification from Satellite Data: Developing an Expert System,’ 19th International Symposium on Applications of Computers and Operation Research in the Mineral Industry, Ramani, R.V., ed., Society of Mining Engineers, Littleton, CO, pp. 809–815.

    Google Scholar 

  • Weiss, S.M., and Kulikowski, C.A., 1984, A Practical Guide to Designing Expert Systems, Addison-Wesley, Reading, MA

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1988 D. Reidel Publishing Company, Dordrecht, Holland

About this chapter

Cite this chapter

Papacharalampos, D. (1988). Gems: A Microcomputer-Based Expert System for Digital Image Data. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_30

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-4029-1_30

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8288-4

  • Online ISBN: 978-94-009-4029-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics