BAYESIAN DECISION THEORY AND REMOTE SENSING

Remote sensing can provide valuable information for decision-making in a wide variety of problems. The inability of the data producer to express the capabilities of remote sensing in monetary terms inhibits its use as an information source. Bayesian Decision Theory can provide monetary information for evaluating the worth of data, in some cases. An outline of Bayesian Decision Theory for finite-discrete problems is presented. An example problem in land use identification for water resources planning is discussed. /Author/

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
• Corporate Authors:

  American Society of Photogrammetry

  105 North Virginia Avenue
  Falls Church, VA  United States  22046
• Authors:
  • Jackson, T J
  • Ragan, R M
• Publication Date: 1975-9

Media Info

• Features: Appendices; References; Tables;
• Pagination: p. 1139-43
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 41
  • Issue Number: 9
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Bayes' theorem; Costs; Decision theory; Land use; Planning; Remote sensing; Water resources
• Uncontrolled Terms: Cost data
• Subject Areas: Design; Finance; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 00127226
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 14 1976 12:00AM