Multi-Disciplinary Techniques for Understanding Time-Varying Space-Based Imagery.
Abstract
A multi-disciplinary program for space-based image processing is reported. This project combines optical and digital processing techniques and pattern recognition, image understanding and artificial intelligence methodologies. Time-change image processing was recognized as the key issue to be addressed. Three time-change scenarios were defined based on the frame rate of the data change. This report details the recent research on: various statistical and deterministic image features, recognition of sub-pixel targets in time-varying imagery, and 3-D object modeling and recognition. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1984
- Accession Number
- ADA144357
Entities
People
- A. Sanderson
- D. Casasent
- T. Kanade
Organizations
- Carnegie Mellon University