Abstract
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.
Original language | English (US) |
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Pages (from-to) | 2055-2065 |
Number of pages | 11 |
Journal | Journal of the Optical Society of America A: Optics and Image Science, and Vision |
Volume | 25 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2008 |
Externally published | Yes |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition