CLASSIFICATION OF PHYSIOGRAPHY FROM ERTS IMAGERY

The potential application of optical data processing to ERTS imagery as a means for automatic identification of large-scale ground patterns was investigated. Spatial frequency distribution and orientational information were derived from ERTS-1 imagery of Kansas for each of 80 sample areas, each 37 km in diameter. The application of classification algorithms to this data reveals that a high degree of correlation exists between the physiography of a sample area and its frequency information. Specifically, the band of frequencies between 1.1 and 2.8 cycles/km appear to contain most of the information needed in distinguishing different physiographic regions. /Author/

  • Availability:
  • Corporate Authors:

    American Society of Photogrammetry

    105 North Virginia Avenue
    Falls Church, VA  United States  22046
  • Authors:
    • Waby, F T
    • McNaughton, J
  • Publication Date: 1975-8

Media Info

  • Features: Figures; Photos; References; Tables;
  • Pagination: p. 1019-27
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00125369
  • Record Type: Publication
  • Contract Numbers: NAS 5-21822
  • Files: TRIS
  • Created Date: Oct 18 1975 12:00AM