An empirical approach to measuring and predicting the effects of target scene shadows on image interpretability is described. A simulated aerial imagery data base is utilized to quantify image interpretability and computed graphics form the basis of the predictor algorithms. A technique to quantify the relative visibilities of individual line segment images is developed. Three categories of predictors are proposed and utilize line segment visibility to predict image interpretability. The success of the algorithms are tested using regression analysis procedures.
Library of Congress Subject Headings
Photographic interpretation; Photogrammetry
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Department, Program, or Center
School of Photographic Arts and Sciences (CIAS)
Maver, Lawrence A., "The effects of shadow visibility on image interpretability" (1983). Thesis. Rochester Institute of Technology. Accessed from
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