遥感图像中城市固体废物提取方法研究  

Extraction Method of Municipal Solid Waste from RS Image

作　　者：曹建军[1] 刘永娟[1] 

机构地区：[1]南京晓庄学院地理科学学院,江苏南京210017

出　　处：《环境卫生工程》2008年第5期47-51,54,共6页Environmental Sanitation Engineering

基　　金：国家自然科学基金资助项目(40401059);江苏省教育厅自然科学指导基金资助项目(04KJD170116);南京晓庄学院自然科学研究基金资助项目(2005NXY25)

摘　　要：根据研究区的特点,以具体应用为指导,并将遥感技术与GIS相结合,提出了GIS支持下的分层分类、基于GIS变化区域识别的分类、基于GIS和领域知识对遥感分类图像进行后处理、GIS支持下固体废物的直接提取等方法与模型,其在精度、效率等方面均较传统方法有较大提高,最大提取精度可达到89%,能够有效地对城市固体废物态势进行动态监测。According to peculiarity of research area, with guidance of concrete application, and integrating RS and GIS, some methods and models, such as layered classification supported by GIS, classification of changeable region identified by GIS, classified image post-processing based on GIS and domain knowledge, and direct extraction models of solid waste supported by GIS, were put forward. And the precision and efficiency of the methods were much higher than those of traditional methods. The best precision of extraction reached 89%. So, the method could be used for dynamic monitoring municipal solid waste posture effectively.

关 键 词：地理信息系统 固体废物 遥感图像 提取方法 

分 类 号：X705[环境科学与工程—环境工程]