Single-Frame Velocity Estimation

James L. Jenkins; Stephen F. Rudin

doi:10.1117/12.960335

5 September 1989 Single-Frame Velocity Estimation

James L. Jenkins, Stephen F. Rudin

Proceedings Volume 1096, Signal and Data Processing of Small Targets 1989; (1989) https://doi.org/10.1117/12.960335
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

When 2-D sampled fields of view are generated by staring or scanning arrays of IR detectors, the motion of an unresolved point object is usually measured in terms of changes in position estimates in a series of two or more successive fields, or "frames" of sampled data. However, when motion is pronounced enough to affect data in a single frame, velocity can be estimated from its effect on data. Investigation of motion on the order of 0.10 detector subtense (DS) per detector integration time (DIT) has shown that velocity can be estimated jointly with position to within a small percentage of the actual velocity at a signal to noise ratio (SNR) of 10.0. A linear recursive maximum liklihood estimator, used for position and intensity, is described and extended to encompass the joint estimation of velocity from a single frame of data. Estimation precision is demonstrated by a Monte Carlo approach based on simulation of the estimation process.

Citation Download Citation

James L. Jenkins and Stephen F. Rudin "Single-Frame Velocity Estimation", Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); https://doi.org/10.1117/12.960335

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