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Proceedings Paper

Image Feature Extraction For Automatic Terrain Classification
Author(s): J. K. Hawkins; G. T. Elerding
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Paper Abstract

In a previous paper,1 an approach to automatic classification of terrain types in aerial photographs was described. Experiments verifying the approach were conducted on a computer-controlled cathode ray tube scanner system called the Natural Image Computer (NIC). The system simulated in serial fashion concepts of parallel local image shape extraction and decision derived from prior optical experiments.2,3 Classification experiments were performed on terrain samples of orchards, woods, lakes, oil tank farms, and railroad yards on 1:50,000 scale imagery, with a resolution corresponding to four feet on the ground.

Paper Details

Date Published: 1 July 1967
PDF: 8 pages
Proc. SPIE 0010, Computerized Imaging Techniques, (1 July 1967); doi: 10.1117/12.946699
Show Author Affiliations
J. K. Hawkins, Philco-Ford Corporation (United States)
G. T. Elerding, Philco-Ford Corporation (United States)


Published in SPIE Proceedings Vol. 0010:
Computerized Imaging Techniques

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