The Large Area Corp Inventory Experiment (LACIE) is an attempt to demonstrate the capability to forecast the annual production of major crops such as wheat and corn. Good image registration of data acquired on different dates is one of the key assumptions made in LACIE. This paper describes an algorithm to measure the accuracy of the current version of sequential similarity detection algorithm (SSDA). Based on over 264 registration checks, it was found that the root-mean-square of registration errors was 1.0 pixel. The failure rate of our registration checking algorithm was less than 10 percent and the standard deviation of the accuracy of this algorithm was less than 0.2 picture element.

  • Availability:
  • Corporate Authors:

    American Society of Photogrammetry

    105 North Virginia Avenue
    Falls Church, VA  United States  22046
  • Authors:
    • Kaneko, T
  • Publication Date: 1976-10

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00142581
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 15 1976 12:00AM