Texture-Tone Study with Application to Digitized Imagery.
Interim technical rept. 1 Nov 70-1 Nov 71,
KANSAS UNIV LAWRENCE CENTER FOR RESEARCH
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An image data set of 54 scenes was obtained from 18 inch by 18 inch areas on a set of 120000 scale photography. The scenes, which consisted of 6 samples from each of the nine categories scrub, orchard, heavily wooded, urban, suburban, lake, swamp, marsh, and railroad yard, were analyzed manually and automatically. For the automatic analysis, a set of features measuring the spatial dependence of the grey tones of neighboring resolution cells was defined. On the basis of these features and a simple decision rule, which assumed that the features were independent and uniformly distributed, an identification accuracy of 70 was achieved by training on 53 samples and assigning an identification to the 54th sample and repeating the experiment 54 times. Author
- Cartography and Aerial Photography
- Computer Programming and Software
- Computer Hardware