基于遥感与GIS的土地利用分类方法研究——以河北省安新县为例  

作　　者：高鑫 徐景东[2] 冯阳[1] 郭沥文 戴建林 

机构地区：[1]北京地拓科技发展有限公司,北京100084 [2]中国水利水电科学研究院,北京100044

出　　处：《科技创新与应用》2019年第7期116-118,共3页Technology Innovation and Application

摘　　要：研究土地利用类型分类对国民经济具有重要意义。在土地利用类型分类中,常用的方法为监督分类与非监督分类,这两种方法都可以快速地对土地利用类型行分类,但针对不同的地物二者的分类精度是不同的。文章将最大似然法与ISODATA算法的分类结果与目视解译作对比,分析得出两种方法对不同地物的分类精度,确定其适用地物。分析得出最大似然法对于居民地、水田、天然草地的划分精度较高,精度分别为:88.89%、87.64%、90.96%;ISODATA算法对坑塘、水浇地的划分精度较高,精度分别可达到:95.38%和91.61%。It is of great significance to study the classification of land use types for the national economy.In the classification of land use types,the commonly used methods are supervised classification and unsupervised classification,both of which can quickly classify land use types,but the classification accuracy is different for different ground objects.In this paper,the classification results of maximum likelihood method and ISODATA algorithm are compared with visual interpretation,and the classification accuracy of the two methods for different ground objects is analyzed,and the suitable ground objects are determined.The results show that the maximum likelihood method has high accuracy for the division of residential land,paddy field and natural grassland,and the accuracy is 88.89%,87.64%and 90.96%,respectively.The accuracy of ISODATA algorithm for pit pond and irrigated land is high,and the accuracy can reach 95.38%and 91.61%respectively.

关 键 词：土地利用分类 最大似然法 ISODATA算法 

分 类 号：P237[天文地球—摄影测量与遥感]