The airport runway frictional coefficient is one of the most important factors which affects the safety of airplane's landings and take-offs under the rain or snow weather. In this paper, each kind of factor which affects the precision of frictional coefficient measurement under the bad condition such as snow and ice covered, rubber pollution and wet runway have been analyzed, and then establish the model of frictional coefficient measurement. A new strategy which uses variable gain recursion least square algorithm has been used to eliminate the error caused by the rugged runway in the high speed measurement process, so as to assure system anti-jamming ability and fast track capacity. Use the vertical pressure pertinence analysis to eliminate the errors caused by the runway surfacing joint.

This paper presents the modeling of stereo vision measurement for solving the optimal spatial point under non-ideal circumstances, and then analyzes the error of stereo vision measurement system from the imaging feature location and camera internal parameters and external parameters, such as the focal length, the baseline distance, which plays a important role in optimization of system architecture and layout of measurement system.

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.

A method of decoding ring marks and EO device was presented in this paper. Also the GSI coded targets had been analyzed and a new type of optical probe can be recognized in use of affine transformation and the cross ratio. Experimental results show that the EO device and optical probe are to be identified correctly and efficiently.

Depending on image processing system, a major sub-system in foreign object debris (FOD) detecting system on the runway, FOD image will be observed efficiently and rapidly with few economy costs and highly accuracy and reliability so as to ensure the passengers safety. The thesis analyses the characteristics and principles of wavelet transformation and applies the theory in image processing under poor visual background for identifying the FODs shape and mark characteristic point on the runway by programming in MATLAB. Besides that, it brings about profound significance for realizing the real-time detecting on the FOD and testing the feasibility and efficiency.