Ice Detection Based on Near Infrared Image Analysis
In order to detect the ice on aircraft wings, a method based on near infrared image processing is proposed. According to the variety of near-infrared reflectivity, four images of one object are obtained under different detection wavelengths. Water and ice can be distinguished by the different variation trends of near infrared images. In this paper, 1.10μm, 1.16μm, 1.26μm and 1.28μm are selected to be the detection wavelengths. The images of Carbon Fiber Composite material aircraft wings partially covered by water or ice are obtained and analyzed. Parameter D can reflect the variation trend of relative near-infrared reflectivity, so that Parameter D also can be the distinguish basis. The results of the experiment show that the method proposed in this paper is available for ice detection.
Dongye Sun, Wen-Pei Sung and Ran Chen
J. C. Zhuge et al., "Ice Detection Based on Near Infrared Image Analysis", Applied Mechanics and Materials, Vols. 121-126, pp. 3960-3964, 2012