Abstract
This research describes the derivation of a 50% probability of identification cycle criterion (N50) for a set of underwater mines. Various levels of blur were applied to eight underwater mines and four nonmine objects with nine aspects in the visible spectra. Results were analyzed as a function of blur level and target size to give identification probability as a function of resolvable cycles on target. The results are applicable to underwater mine target acquisition estimates for visible electro-optical imaging systems and for laser-illuminated, range-gated imaging systems. This research provides for the design and analysis of electro-optical systems in the identification of underwater mines.
Original language | English (US) |
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Article number | 033201 |
Journal | Optical Engineering |
Volume | 46 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2007 |
Externally published | Yes |
Keywords
- Electro-Optical Imaging
- Imaging
- Mines
- Performance
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Engineering(all)