Data base requirements for remote sensing and image processing applications

  • Ralph Bernstein
4. Remote Sensing And Image Processing Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 81)


Remote sensing of the earth has evolved from a film based, manual interpretation technology to a digital multispectral and multisensor technology with significant machine processing for correction, information extraction, data management, and modelling. This transition is not without growing pains. Of the 1015 bits of data that are currently acquired per year in the NASA program, only about 1013 bits are utilized. Future programs involving higher resolution and wider spectral range sensors will increase the data acquisition rates by an order of magnitude. Technological problems exist today in data correction, information extraction, processing, storage, retrieval and dissemination. This paper will identify some of the data base requirements for future programs, and discuss technological approaches for improving the handling and processing of remotely sensed data. Fundamental to this approach is the concept of a global data and information base that is geographically accessible, contains data from all earth observation programs, and is easily and economically disseminated. This capability is needed, and the technology is available for its implementation.


Remote Sensing Synthetic Aperture Radar Information Extraction Single Instruction Multiple Data Landsat Data 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Anderson, J. R., Hardy, E. E., Roach, J. T., and Witmer, R. E. (1976). A Land Use and Land Cover Classification System for Use with Remote Sensor Data, U.S. Geological Survey Paper #964, U.S. Government Printing Office, Washington, D.C.Google Scholar
  2. Anuta, P. E. (1970). Spatial Registration of Multispectral and Multitemporal Digital Imagery Using Fast Fourier Transform Techniques. IEEE Transactions on Geoscience Electronics, Vol. GE-8, pp. 353–368.Google Scholar
  3. Aviation Week & Space Technology, (1979). Earth Resources Concepts Proposed, March 26, 1979, pp. 46–53.Google Scholar
  4. Bernstein, R. (1978). Digital Image Processing for Remote Sensing. (Edited). IEEE Press & J. Wiley, pp. 121–174.Google Scholar
  5. Bernstein, R. (1975). All-Digital Precision Processing of ERTS Data. NASA Final Report, Contract No. NAS5-21716, FSD-75-0009.Google Scholar
  6. Catoe, C. E. (1978). End-to-End Data/Information Systems Concept: The Solution or the Problem? 8th Annual Remote Sensing Conference Proceedings, Space Institute, University of Tennessee.Google Scholar
  7. Colwell, R. N. (1974). Keynote Address, 1974 Annual Convention of the American Congress of Surveying and Mapping, American Society of Photogrammetry.Google Scholar
  8. Computer Design, (1979). Parallel Processor Will Be Capable of Performing 6 G Additions/S., pp. 55–56, March 1979.Google Scholar
  9. Foster, H. D. (1977). A Remote Sensing System for a Nationwide Data Bank, Proceedings, 1977 Machine Processing of Remotely Sensed Data Symposium, Purdue University, Lafayette, Indiana.Google Scholar
  10. Greenwood, L. R. (1978). Environmental Observations from Space; Present and Future. EASCON 1978 Record, IEEE Publication 78CH 1354-4 AES, 1978.Google Scholar
  11. Landgrebe, D. (1976). Computer-Based Remote Sensing Technology — A Look to the Future. Remote Sensing of the Environment, Vol. 5, No. 4.Google Scholar
  12. Martin, J. (1971). Future Developments in Telecommunications, Prentice-Hall.Google Scholar
  13. Nagler, R. G. (1978). Satellite Measurement Capabilities for Environmental and Resource Observations. EASCON 1978 Record, IEEE Publication 78CH 1354-4 AES.Google Scholar
  14. NASA 5-Year Planning, Fiscal Years 1979 through 1983. NASA Headquarters, Washington, D.C., March 1, 1978.Google Scholar
  15. Rosenfeld, A. (1969). Picture Processing by Computers. Academic Press, New York.Google Scholar
  16. Schoene, L. P. (1977). Master Data Processor, Technical Directions, FSD, Autumn 1977, Vol. 3, No. 2.Google Scholar
  17. Thompson, L. L. (1979). Remote Sensing Using Solid-State Array Technology, Photogrammetric Engineering and Remote Sensing. Vol. 45, No. 1, pp. 47–55.Google Scholar
  18. Van Vleck, E. M., Sinclair, K. F., Pitts, S. W., and Slye, R. E. (1973). Earth Resources Ground Data Handling Systems for the 1980's. NASA TMX-62, 240, p. 12.Google Scholar
  19. Wu, C. (1975). The Decision Tree Approach to Classification. PhD Thesis, Purdue University.Google Scholar
  20. Wood, J. T. (1976). Cartographic Data Available to Coastal Planners, 2nd Annual Pecora Symposium, ASP & USGS.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1980

Authors and Affiliations

  • Ralph Bernstein
    • 1
  1. 1.Federal Systems DivisionIBM CorporationGaithersburgUSA

Personalised recommendations