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:
  • 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:

Subject/Index Terms

Filing Info

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