Rapid Estimation Of Background Clutter Leakage

N. K. Shi; G. S. Um; C. R. Johnson

doi:10.1117/12.949699

4 January 1986 Rapid Estimation Of Background Clutter Leakage

N. K. Shi, G. S. Um, C. R. Johnson

Proceedings Volume 0564, Real-Time Signal Processing VIII; (1986) https://doi.org/10.1117/12.949699
Event: 29th Annual Technical Symposium, 1985, San Diego, United States

Abstract

A theoretical analysis is done to arrive at expressions for quick estimation of the leakage noises due to jitter and drift motions in a surveillance sensor system. The expression for the mean square clutter leakage started out in an integral form, involving pixel footprint size, background spatial distribution density, optical parameters of the telescope, observation range, detector transfer function, and the filter function. The filter is assumed to be an Nth order temporal differencing type, and the background scene has a Cauchy type distribution with specific standard deviation and correlation length. Then the integral expression is reduced to a simplified case where the system motion is assumed to be one dimensional, consisting of a linear combination of a uniform drift motion and a sinusoidal jitter vibration. For both the jitter and the drift dominant case the integrations are reduced to the summing of sine and cosine integral functions. Asymptotic expansions are then used to express the clutter leakage in terms of sine and log functions. The resulting expressions are simple enough to be rapidly used with a desk-top calculator. The results are compared with curves generated by a digital computer using a more exact numerical integration method and agrees well except for the values at the jitter vibrational peaks where the approximation method over estimates.

Citation Download Citation

N. K. Shi, G. S. Um, and C. R. Johnson "Rapid Estimation Of Background Clutter Leakage", Proc. SPIE 0564, Real-Time Signal Processing VIII, (4 January 1986); https://doi.org/10.1117/12.949699

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