面向对象的土地利用遥感分类——以邛海流域为例  

Object- oriented Land Use Classification Using Remote Sensing Images——A Case of Qionghai Lake Basin

作　　者：于明洋[1] 刘志红[1] 戴睿[1] 娄梦筠[1] 王瑾[1] 梁津[1,2] 

机构地区：[1]成都信息工程学院,成都610225 [2]四川省环境保护科学研究院,成都610041

出　　处：《高原山地气象研究》2013年第4期74-78,共5页Plateau and Mountain Meteorology Research

摘　　要：利用google earth提取的SPOT5高分辨率遥感影像为研究数据,基于The Environment for Visualizing Images(ENVI)EX软件平台,采用面向对象的多尺度分割方法,获得了邛海流域土地利用类型。结果表明:该分类方法不仅能够克服传统基于像元分类方法中的"椒盐效应"问题,而且能够综合利用DEM、NDVI等辅助信息和地物本身的光谱特征与纹理特征。对分类结果进行了检验,分类精度达89.18%,分类结果达到要求。Based on the Environment for Visualizing Images （ENVI） EX,the SPOT5 high resolution remote sensing images which are extracted from Google Earth are used to investigate the classification of land use types by object - oriented multi - scale image segmentation method in the Qionghai lake basion. The results showed that the classification method can overcome the problem of the ＂salt and pepper effect＂ by the traditional pixel - based classification, it also can make a effective use of the auxiliary information（ DEM, NDVI, etc. ） and the information of ground objects （ spectral characteristics, texture features, etc. ） comprehensively. The classification accuracy reached 89.18% and the results are satisfactory.

关 键 词：面向对象 分类 高分辨率影像 ENVI EX 

分 类 号：P237[天文地球—摄影测量与遥感]