Panoramic UAV Image Mosaic Method and Its Application in Pavement Paving Temperature Monitoring

The low-altitude technology of unmanned airborne infrared detection system is used to effectively monitor the temperature segregation in the paving stage and realize the temperature uniformity control of asphalt pavement construction. The image mosaic method can splice two images with overlapping areas together to form a panoramic image. In order to solve the problems of long time-consuming and low accuracy of aerial image mosaic algorithm, the low-temperature area of the whole pavement can be obtained quickly and accurately. In this paper, threshold segmentation technology is introduced to convert the image captured by the unmanned aerial vehicle (UAV) into a binary greyscale image so as to compensate for the mosaic error caused by temperature difference. In order to improve the efficiency and accuracy of splicing, a reference plate is used, which can provide enough feature points for splicing. Finally, the image mosaic method proposed in this paper can quickly obtain the image of the whole low-temperature area of the newly paved asphalt pavement, which has practical value and positive significance for the quality control of asphalt pavement.

Automated summary

The low-altitude technology of unmanned airborne infrared detection system is used to effectively monitor and control the temperature segregation in the paving stage of asphalt pavement construction. The image mosaic method is utilized to quickly and accurately obtain the low-temperature area of the pavement. The proposed method has practical value and positive significance for quality control.