There are large differences between the actual colour of fruit trees canopy and the point cloud from the ground three-dimensional laser scanner in the complex outdoors environment. In order to solve this problem,a new color correction method for color correction was proposed. Firstly, the Pearson coefficient and Spearman correlation coefficient were calculated to make sure that there are relationships among the R,G,B values of the scanning spot and the R,G,B values of the 24-Patch Color Checker Chart Classic, the solar radiation values, the angle θ between 24-Patch Color Checker Chart Classic and the earth, scan quality, and light direction variables. And then, with confidence level of 95%, an R,G,B components multiple regression model was established by using the dual-sifting stepwise regression in statistical method. Lastly, the model was used to correct three-dimensional points cloud colors. The experiment results show that, using the three-dimensional point correlation regression model, the correlation coefficient between the three-dimensional point cloud color R,G,B value and the real R,G,B values increased from less than 0.69 to above 0.90 after correction,and color-corrected standard deviation fell significantly from above 50% to below 13%. The method could be used to provide a theoretical basis for terrestrial laser scanning to obtain more accurate three-dimensional color points cloud.