An Improved Algorithm to Near Infrared Multispectral Ice Detection

Author:

Gao Jian Shu1,Han Ren Yi2,Yu Zhi Jing2,Qiao Wen2

Affiliation:

1. Civil Aviation Administration of China

2. Civil Aviation University of China

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.

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

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.

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.

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

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.

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

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