Accession Number:

ADA071118

Title:

Prediction of the Recognition of Real Objects as a Function of Photometric and Geometric Characteristics

Descriptive Note:

Technical rept. 16 Mar 1974-15 Mar 1975

Corporate Author:

VIRGINIA POLYTECHNIC INST AND STATE UNIV BLACKSBURG DEPT OF INDUSTRIAL ENGINEERING AND OPERATIONS RESEARCH

Personal Author(s):

• Bonnet, Deborah G.
• Snyder, Harry L.

Report Date:

1978-12-01

Pagination or Media Count:

111.0

Abstract:

The purpose of this research was to predict target-by-target acquisition performance of air-to-ground imagery from microdensitometrically determined photometric and geometric characteristics of the scene. Results showed that it is feasible to predict the ground range at which a given target will be detected by an airborne observer. This prediction could be made totally automatically, given reconnaissance imagery, a microdensitometer, and a small computer. Seventeen characteristics of targets, backgrounds, and targetbackground relationships which reliably correlate to target acquisition performance were identified. Sixty regression equations combining these variables into linear predictive models of target acquisition performance were developed from one set of targets and mission conditions and cross-validated against targets contained in three different reconnaissance missions.

Descriptors:

• *AERIAL RECONNAISSANCE
• *TARGET ACQUISITION
• *HUMAN FACTORS ENGINEERING
• MATHEMATICAL PREDICTION
• AIR TO SURFACE
• AUTOMATIC
• PHOTOMETRY
• DENSITOMETERS
• ANALYSIS OF VARIANCE
• COMPUTER PROGRAMS
• REGRESSION ANALYSIS

Subject Categories:

• Military Intelligence
• Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE