ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

A parameter adaptive differential evolution algorithm was proposed to measure the diameter at breast height (DBH) of tree trunk by fitting circle. A DBH measuring platform made by laboratory was utilized to collect the data, and the Kmeans algorithm was first introduced to cluster the data and segment the background and target. In order to improve the fitting accuracy, the angle compensation method used arc length was employed to compensate the deflection angle of the trunk surface point to the laser sensor center before fitting. Then, the center of laser sensor was taken as the coordinate origin, and the horizontal and vertical coordinates of the trunk surface points were calculated. Finally, the adaptive differential evolution algorithm was proposed to fit the tree trunk surface. In the process of fitting, the number of population, evolutionary strategy, scaling factor and crossover rate of the differential evolution process were adaptively changed with the evolution process. Totally forty different sizes of trees in the campus and artificial forest were measured and fitted respectively, and the fitting time was 1.41s. The results of the proposed method were compared with the real values of DBH. The RMSE for DBH of trees in the campus and artificial forest were 4.996mm and 4.500mm, respectively. At the same time, the results were compared with the Levenberg-Marquardt (LM), particle swarm optimization (PSO) and Hough transform. The experiments validated that the method proposed can measure the DBH more effectively and accurately.