摘要
利用黄石市阳新县分辨率为2.5 m的SPOT-5影像,选取了6个典型耕地图斑,采用基于像元和面向对象两种分类模式对其进行分类并计算田坎系数,将计算结果与实地测算的田坎系数进行对比分析,研究表明:基于影像分类原理获取田坎系数与实地测算的田坎系数有较高的符合度;由于面向对象的分类原理考虑了较多的地物信息,获取的田坎系数符合度较高。
Employing the 2.5m resolution SPOT-5 remote sensing image of Yangxin County of Huangshi City and choosing 6 typical farming-land polygon areas, this paper classifies the chosen polygon areas, calculates the ridge coefficient based on element classification and object-oriented classification, and compares the calculation result with the field survey one. The research shows that the ridge coefficient obtained through image classification principle is consistent with the field survey result. Taking the advantage of considering more land cover object information, the one obtained through object-oriented classification method acquires better accuracy.
出处
《国土资源科技管理》
2009年第5期77-81,共5页
Scientific and Technological Management of Land and Resources
关键词
田坎系数
基于像元:面向对象
ridge coefficient
based on dement
object-oriented
