Quality Metrics of Digitally Derived Imagery and Their Relation to Interpreter Performance. 8. Interim Report
Abstract
This report summarizes a five-year research program on the subject of quality evaluation of digitally derived imagery. High-resolution aerial photography was used to create digitized images with unclassified content comparable to that employed in military photointerpretation operations. The digitized imagery was used in several hard-copy and soft-copy interpretation experiments to assess the affects of image blur and image noise on both perceived image quality and the ability to extract information from the images. The soft-copy experiments included both nonprocessed and processed imagery. Finally, quality metrics of iamge quality were obtained for both hard-copy and soft-copy images and related directly to both information extraction performance and subjective quality scaling.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 1983
- Accession Number
- ADA137726
Entities
People
- Harry L. Snyder
Organizations
- Virginia Tech