An Improved Algorithm to Near Infrared Multispectral Ice Detection

Jian Shu Gao; Ren Yi Han; Zhi Jing Yu; Wen Qiao

doi:10.4028/www.scientific.net/AMM.121-126.4367

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126An Improved Algorithm to Near Infrared...

An Improved Algorithm to Near Infrared Multispectral Ice Detection

Abstract:

In order to improve the accuracy of near infrared multispectral ice detection on aircraft wings, we present an improved unit detection algorithm to reduce the noise influenced by the ice detection system itself. The improved algorithm, first select matrices being 3*3 as a detection unit, then calculate the contrast value of the five pixel points in the cross region of the unit, and finally count the number of pixel points, whose contrast value are larger than the threshold value of ice on the surface. The experimental results show that the unit detection method has high accuracy and efficiency compared with conventional point-by-point method.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

4367-4371

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.4367

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Online since:

October 2011

Authors:

Jian Shu Gao, Ren Yi Han, Zhi Jing Yu, Wen Qiao

Keywords:

Contrast, Detection Unit, Ice Detection, Near Infrared Multispectral, Threshold Value

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References

[1] CHEN N X，SANG W M，CHEN Y C：Development and Technologies to the Study of Civil Aircraft Icing[J]. Flight Dynamics, Vol. 27(5), 2007, pp.11-14.

Google Scholar

[2] JIANG L G , SUN P: Models of the Wavelength Dependence for the Index of Refraction of Water[J]. Chinese Journal of Spectroscopy Laboratory, Vol. 19(4), 2002, pp.554-556.

Google Scholar

[3] Kent F. Palmer, Dudley Williams: Optical properties of water in the near infrared[J]. JOSA, Vol. 64(8), 1974, pp.1107-1110.

Google Scholar

[4] Roger N. Clark. Water Frost and ice: The near-infrared spectral reflectance 0. 65–2. 5 μm[J]. Journal of geophysical research, Vol. 86(B4), 1981, pp.3087-3096.

DOI: 10.1029/jb086ib04p03087

Google Scholar

[5] Gregoris, D., Yu, S., and Teti, F. Multispectral Imaging of Ice. CCECE 2004, Niagara Falls, May, (2004).

Google Scholar

[6] Dr. Thomas Meitzler, Darryl Bryk, Euijung Sohn: An Infrared Solution to a National Priority NASA Ice Detection and Measurement Problem[C]. NASA Kennedy Space Center(2007).

DOI: 10.1117/12.716915

Google Scholar

[7] GREGORIS, Dennis, John Etobicoke, Ontario. Electro-Optic ice detection[P]. European Patent 078, 589, 0B1. (1996).

Google Scholar