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:
  • 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:
  • Waby, F T
  • McNaughton, J
• Publication Date: 1975-8

Media Info

• Features: Figures; Photos; References; Tables;
• Pagination: p. 1019-27
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 41
  • Issue Number: 8
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Algorithms; Artificial satellites; Correlation analysis; Electromagnetic frequencies; Frequency distributions; General surface features of the earth; Imagery; Information processing; Natural resources
• Uncontrolled Terms: Physiography
• Old TRIS Terms: Satellite program
• Subject Areas: Data and Information Technology; Design; Highways;

Filing Info

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