Predicting range performance of sampled imagers by treating aliased signal as target-dependent noise.
This paper presents a new theory to predict the impact of sampling on target acquisition. The aliased signal that results from sampling is treated as noise. The aliased signal is different from detector noise in two ways. First, aliasing disappears as the target contrast decreases. Second, the image corruption due to aliasing gets worse with increased range. This is because sampling is constant in angle space, and targets become poorly sampled as range increases. The theory is presented, along with the results of three experiments. The match between model and experiment is excellent.
Vollmerhausen
Richard H
RH
760 Jacktown Rd. Lexington, VA 24450, USA. vollmerhausen@hughes.net
Driggers
Ronald G
RG
Wilson
David L
DL