Model-based system for automatic target recognition from forward-looking laser-radar imagery

Jacques G. Verly; Richard L. Delanoy; Dan E. Dudgeon

doi:10.1117/12.60089

1 December 1992 Model-based system for automatic target recognition from forward-looking laser-radar imagery

Jacques G. Verly, Richard L. Delanoy, Dan E. Dudgeon

Author Affiliations +

Optical Engineering, Vol. 31, Issue 12, (December 1992). https://doi.org/10.1117/12.60089

Abstract

We describe an experimental model-based automatic target recognition (ATR) system, called XTRS, for recognizing 3-D vehicles in real or synthetic, ground-based or airborne, 2-D laser-radar range and intensity images. The key to recognition is a new generic matching engine that compares image events (e.g., silhouettes) and their constituent primitives to some appearance-model (AM) hierarchy, which describes how 3-D, possibly articulated, objects appear in the imagery. We describe each of the system's components, i.e., the event characterization (for extracting events from images and decomposing the events into primitives), the models, the matching, and the control. XTRS may also perform low-level information fusion by constructing feature-indicating interest images and combining them into an overall interest image used for locating an event. Examples of processing and performance results are given for real CO₂ ground-based laser-radar imagery. We also report on a performance evaluation of XTRS based on synthetic data where important parameters (e.g., range to target) are systematically varied. Overall, more than 1500 range and intensity image pairs have been used throughout the development of XTRS.

Citation Download Citation

Jacques G. Verly, Richard L. Delanoy, and Dan E. Dudgeon "Model-based system for automatic target recognition from forward-looking laser-radar imagery," Optical Engineering 31(12), (1 December 1992). https://doi.org/10.1117/12.60089

Published: 1 December 1992

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available