Image restoration for target detection: will it help?

Ofer Hadar; N. Corse; R. Khalif; Y. Neumann; Stanley R. Rotman; Norman S. Kopeika

doi:10.1117/12.281364

22 September 1997 Image restoration for target detection: will it help?

Ofer Hadar, N. Corse, R. Khalif, Y. Neumann, Stanley R. Rotman, Norman S. Kopeika

Proceedings Volume 3110, 10th Meeting on Optical Engineering in Israel; (1997) https://doi.org/10.1117/12.281364
Event: 10th Meeting on Optical Engineering in Israel, 1997, Jerusalem, Israel

Abstract

The classical method for determining target acquisition probabilities has always focused on the maximum spatial frequency (frmax) discernible in the image. On the other hand, it is known that the atmosphere degrades all the spatial frequencies as determined by the atmospheric modulation transfer function (MTF). The question arises: do the 'other' frequencies below frmax affect the target acquisition probability. We will present two experimental approaches to this question. In the first, we consider different atmospheric MTFs with the same value of frmax but with different MTF shapes. In the second, we consider a novel Wiener filter which restores all the frequencies to their value prior to the atmospheric blur. Laboratory measurements of observer response time when performing target acquisition will be presented for these case. The results will allow us to check the degree that the entire MTF should enter the target acquisition model, rather than frmax only.

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Ofer Hadar, N. Corse, R. Khalif, Y. Neumann, Stanley R. Rotman, and Norman S. Kopeika "Image restoration for target detection: will it help?", Proc. SPIE 3110, 10th Meeting on Optical Engineering in Israel, (22 September 1997); https://doi.org/10.1117/12.281364

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KEYWORDS

Target acquisition

Modulation transfer functions

Target detection

Spatial frequencies

Imaging systems

Image restoration

Target recognition

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