Algorithms for Space-Based Infrared Surveillance
Abstract
The objective of the study summarized in this report was to develop and evaluate algorithms for detecting low-observable air vehicle targets from a space-based imaging infrared sensor. The effort consisted of theoretical and simulation studies in three areas: frame registration, velocity filtering, and multispectral processing. In the first area, a generalization of the well-known phase-correlation approach for frame registration and clutter suppression was developed. This new approach is significantly more accurate and robust than the standard correlation technique. Also, an improved approach to image interpolation for multi-frame clutter suppression applications was formulated. A major feature of this new approach is the application of the same in-band filtering to every registered frame in order to minimize structured clutter leakage when the frames are differenced. In the second area (velocity filtering) , the standard velocity filter approach was extended from fixed-contrast to variable-contrast targets. In the third area (multispectral processing), techniques were developed for clutter suppression and target enhancement for both stationary and moving targets.... Frame registration, Velocity filtering, Multispectral processing, Target detection, Moving target indication.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1993
- Accession Number
- ADA261891
Entities
People
- Alan D. Stocker