EVALUATION OF LANDSAT-IMAGE REGISTRATION ACCURACY

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:
  • 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:
  • Kaneko, T
• Publication Date: 1976-10

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 1285-99
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 42
  • Issue Number: 10
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Accuracy; Algorithms; Crops; Imagery; Registrations
• Old TRIS Terms: Images
• Subject Areas: Design; Highways;

Filing Info

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