Tongji University

Mintao Bao

Hongduo Zhao

Jianming Ling

Jingfu Chen

The present disclosure provides a method and system for evaluating anti-skid performance of airport pavement based on spaceborne SAR. the method obtains an echo intensity plot by processing SAR images; Establish a FNN model using machine learning algorithms that input objective conditions, surface texture parameters, measured friction coefficients, and output SAR echo intensity; Finally, input the SAR images to be predicted and the assumed friction coefficient into the FNN model, to compare and predict the anti-skid performance. The present disclosure is based on the properties of SAR echoes and establishes a correlation between SAR echo intensity and pavement friction coefficient in both temporal and spatial dimensions, enabling uninterrupted remote sensing monitoring of regional anti-skid performance over a long period and large spatial distribution.

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Shanghai, China

Mintao Bao