摘要
针对传统测树学中不能同步测量树高、胸径以及测量仪器自身的局限性和人为因素干扰大等问题,设计了一种基于BP神经网络图像分割算法的嵌入式测树系统,该系统能同时测得立木胸径、树高。经测试,本系统运行高效,操作简单,精度完全达到林业上测量误差在5%以内的要求,具有很好的生产应用价值,是现有测树方法的一个很好补充。
Because traditional tree measurement can not synchronously measure the tree's height and breast-height diameter,and the measuring instruments have the limitations and other human factors,this paper designed an embedded tree measurement system based on BP neural network image segmentation,which can synchronously measure the main characteristic of tree.Testing results show that the proposed system can run efficiently and operate simply.Furthermore,the measurement precision error fully meets the requirement of less than 5%.So the proposed system has good application value,which is the supplement of the existing methods of tree measurement.
出处
《计算机科学》
CSCD
北大核心
2015年第S1期223-225,共3页
Computer Science
基金
国家自然科学基金项目(31300539)资助
关键词
测树学
BP神经网络
图像分割
嵌入式系统
Tree neasurement,BP neural network,Image segmentation,Embedded system
