Low Altitude Simulation/Prediction Techniques.
Abstract
Preparation of sensor predictions at the present time is a manual process requiring several hours of effort by highly trained personnel. This extremely slow response capability is unacceptable within the framework of most Air Force missions, particularly those of a tactical nature. The problem is accentuated in low-altitude missions where the effective sensor resolution places a greater burden on the existing sensor image prediction system and the supporting data bases. The purpose of the study was to analyze the use of image predictions in order to find a more compact set of prediction techniques that would result in a more efficient image prediction system. An experimental approach was used to determine the relationship between navigator performance and the type and amount of information in the prediction image. A number of subjects were given image predictions containing different image features and then asked to identify the predicted targets in corresponding dynamic flight sequences over scenes of cultural content. Three techniques were used to compress the amount of information contained in the image predictions. The techniques employed are edge representation, a reduction in resolution, and gray level quantization.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1981
- Accession Number
- ADA108183
Entities
People
- Anthony J. Stenger
- Susan A. Knobel
- Warren R. Stone
Organizations
- Technology Service Corporation