Texture Tone Feature Extraction and Analysis.
Final technical rept. Apr 76-May 77,
STATE UNIV OF NEW YORK AT BINGHAMTON
Pagination or Media Count:
A new texture measurement and the Mahalanobis classifier with a generalized inverse scheme were developed to generate decision maps of terrain features with digitized BW photographs on a pixel by pixel basis. Eight scences within the Northeast test area, four low altitude and four high altitude, were analyzed yielding a hit-rate of about 90 with properly digitized image data. To determine the degree of non-normal behavior of the texture variables, the stable distribution models were utilized. Methods of estimating the stable parameters of the texture variables were developed. It is found that fifty of the texture variables are not normally distributed. Since the stable distribution models are capable of incorporating the skewness parameters into the classification process, it is recommended as a new classifier for image data analysis.
- Cartography and Aerial Photography