Abstract

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

Publication Date

9-1-1983

Document Type

Thesis

Student Type

- Please Select One -

Department, Program, or Center

School of Photographic Arts and Sciences (CIAS)

Advisor

Scarff, Lawrence

Advisor/Committee Member

Granger, Edward

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TR810.M374 1983

Campus

RIT – Main Campus

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