摘要
以湖北省咸宁市咸安区为研究区,选取2015年的Landsat遥感影像作为主要数据源,采用最大似然法对遥感图像进行土地利用一级分类,通过ArcGIS对城市一级地类进行定量分析,依托空间分析功能结合一级各类用地的空间布局,探讨基于高分影像的土地利用精细分类.实验采用混淆矩阵法来验证分类结果的精度,结果表明,总精度为93.7%.该分类方法能够有效提高城市土地精细分类精度和准确度.
District of Xianning city in Hubei Province as the study area,Landsat remote sensing image of 2015 as the main data source by using the maximum likelihood method for land use classification of remote sensing image,through the Arc GIS to the city first class for quantitative analysis,based on the spatial analysis function of a combination of all kinds of land spatial distribution,to explore the image land use classification based on fine. In this experiment,the confusion matrix method is used to verify the accuracy of the classification results. The results show that the total accuracy is 93. 7%. This method can effectively improve the precision and accuracy of urban land classification.
出处
《福建师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2017年第6期60-68,共9页
Journal of Fujian Normal University：Natural Science Edition
基金
福建省教育厅教改项目(JAS14677)
福建省科技计划公益类项目(2015R034-6)
