Incorporation of sea-surface clutter in infrared scenes for antiship cruise missile models

Fraedrich, Douglas S.; Cahill, Colin P.; Gover, Robert E.; Miller, Craig; Shaw, Patrick C.; Taczak, Thomas M.

doi:10.1117/12.542423

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…3 Sea clutter models have been applied in synthetic infrared scenes. 4,5 Work has been done to include clutter models to improve countermeasure effectiveness, 6 and detection. 7…”

Section: Related Workmentioning

confidence: 99%

Characterization of IR sea clutter

Haug

2023

Ocean Sensing and Monitoring XV

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Image analysis in scenes with low contrast in the infrared is difficult in general. At sea, this can be further challenging due to varying levels of sea clutter. Ideally, adaptive algorithms should be able to consider the clutter to determine how sensitive they can be, and to what degree success is possible. This would allow greater control over the balance between Type I and Type II errors, 1 and improve performance. To achieve this, we need measures for sea clutter. This paper is a search for features that seem useful for discriminating between different levels of sea clutter. We investigate spatial features, such as texture energy measures, properties of the Fourier coefficients, and the statistical features of segments in a thresholded image. In addition, inspired by the field of radar, where sea clutter is well studied, we will look at the statistical distribution of the IR sea clutter itself. Results indicate that these features, when paired with classification algorithms, can be useful to discriminate between scenes with various levels of sea clutter. In addition, they might even be suitable as a quantitative measure of the amount of clutter in the scene.

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“…3 Sea clutter models have been applied in synthetic infrared scenes. 4,5 Work has been done to include clutter models to improve countermeasure effectiveness, 6 and detection. 7…”

Section: Related Workmentioning

confidence: 99%

Characterization of IR sea clutter

Haug

2023

Ocean Sensing and Monitoring XV

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Validation of ShipIR (v3.2): methodology and results

Vaitekunas

2006

Targets and Backgrounds XII: Characterization and Representation

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The naval ship infrared signature model and naval threat countermeasure simulator (ShipIR/NTCS) developed by W.R. Davis Engineering Ltd has undergone extensive validation since its adoption as a NATO-standard, and has been accredited by the US Navy for Live Fire Test and Evaluation of the DDG class warship, Preliminary Design of the DD(X) destroyer, and Contract Design and Live Fire Test and Evaluation of DD(X). Validation has played a key role in the model development by assessing current accuracy, identifying key areas of improvement, and tracking achievements made by each new release. This paper describes some of the recent improvements in full-ship infrared (IR) signature measurement and model prediction based on the measurements and predictions of an unclassified Canadian research vessel (CFAV Quest). The results show how some of the more recent trial parameters: radiosonde input, ship surface optical properties, atmosphere-scattered solar irradiation, and large-scale Reynolds Number; have affected our model predictions and accuracy.

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Incorporation of sea-surface clutter in infrared scenes for antiship cruise missile models

Cited by 2 publications

References 5 publications

Characterization of IR sea clutter

Characterization of IR sea clutter

Validation of ShipIR (v3.2): methodology and results

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