The built-in CCD camera of the intelligent total station is the carrier for identifying target prisms in measurement activities ,and the spot image formed by the reflected infrared ray received by it is an important basis for target recognition and illuminance determination. The experiment takes the RGB ,grayscale ,and spot images (point cloud) of the target area prism as the research basis. Based on the proposed three feature conditions of circularity ,spot mapping coefficient ,and scat-tering ,a spot recognition model is established using the random forest algorithm;Then ,use the centroid algorithm of light spot dispersion to find the center of gravity of the light spot;Finally ,the center of gravity of the light spot is segmented using the four quadrant rule to form an error line in the experimental field ,and the alignment error is corrected by dividing the quadrants. The experiment shows that this method can effectively identify the center of gravity of the prism spot and achieve precise alignment ,which has certain feasibility.
关键词
智能化全站仪/特征条件/随机森林算法/四象限法则
Key words
intelligent total station/characteristic conditions/random forest algorithm/four quadrant rule
维普
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