为提高林木联合采育机的工作效率,减轻驾驶员的工作压力,采用基于二维激光扫描仪的非接触测量系统获取采育作业林地环境内的目标数据,运用基于腐蚀扩张和聚类原理的滤波算法过滤原始扫描数据的背景噪声,获取采育目标的位置和轮廓数据,并假设所有目标为标准圆,采用最小二乘法拟合目标直径,计算采育目标之间的株距。结果表明,采用以上方法的株距计算与人工测量结果相比,平均误差为197.52mm,标准差为97.7mm,相对误差小于2%。
In order to improve the work efficiency of forest harvester and all reduce the pressure of the driver, a laser scanner was used to collect the 2-dimensions scan data of the living-tree in forest land. Then, the noise of the raw scan data was filtered and the position of the living-tree was located by an automatic extraction algorithm based on the erosion and clustering theory. The planting distances between the living-tree were Calculated with the above filtered scan data. The results showed that compared with the manual measurement of planting distance calculations, using the above method, the average error was 197.52 mm, and the standard deviation was 97.7 mm, the relative error rate was less than 2%.