基于表面采样-图像分割技术对西藏农牧区垃圾组成的快速监测

Rapid Detection of the Composition of Garbage in the Farming and Pastoral Areas in Tibet Based on Surface Sampling-Image Segmentation

针对西藏农牧区地域广阔、居民点分散的特点,提出一种基于表面采样-图像分割技术的快速监测方法,即在采集照片后,利用Auto CAD软件测算图像中不同类别垃圾体所占的面积,将其作为垃圾体组成比例的二维指标进行统计,研究垃圾的组成情况,并根据可降解性、材质、来源用途三种分类方法进行分类,最后得到样点垃圾组成的基本信息。

Based on the vast area and sparse residential areas of Tibet,this paper presented a rapid detection approach to study the composition of garbage using surface sampling-image segmentation technique.We took pictures of the garbage and then used the software AutoCAD to calculate the areas occupied by different types of garbage.The data were analyzed as two dimensional index of the proportional statistics of garbage,which were used to study the composition of garbage,and classify the garbage by the degradability, material,origin and utilization.The basic information of the composition of garbage in the sampling site could be obtained at last.