Extracting Target Features from Angle-Angle and Range-Doppler Images
Abstract
For diffuse targets, features such as shape, size, and motion can be determined from a time series of images from either angle-angle passive telescopes or range-Doppler radars. The extracted target features can then be used for automated target recognition and identification. An algorithm that uses scene-analysis techniques has been developed to perform the feature extraction. The algorithm first processes the images to suppress noise, then applies a two- dimensional slope operation for edge detection to determine the target boundaries. Next, Hough transforms are used on the target edges to detect straight lines and curves, which are subsequently refined with line and curve fits. Groups of the fitted lines are then examined to form cylinders and cones representing typical target components. After these shapes have been identified, the target configuration, size, location, and attitude can be estimated. The target motion can then be inferred from a time series of attitudes that have been extracted from a sequence of images.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1993
- Accession Number
- ADA272132
Entities
People
- Su M. Hsu
Organizations
- Massachusetts Institute of Technology