期刊论文

中文

湖北大学学报(自然科学版)

1000-2375

2018

40

4

429-436

10.3969/j.issn.1000-2375.2018.04.021

41571487:国家自然科学基金 40771088:国家自然科学基金 2016CFA027:湖北省自然科学基金创新群体项目

本校为第一机构

采用Landsat5 TM遥感影像为数据源,以湖北省江汉平原之潜江市为试验区,探讨同一遥感信息源下对不同等级的土壤分类的尺度匹配性.以Landsat5 TM遥感影像和两个级别的土壤类型图(土壤亚类及土属)为基础数据,集成主成分分析、归一化植被指数等图像处理技术,提取多种影像特征建立土壤分类特征数据集;采用最大似然监督分类方法对潜江市不同级别的土壤分别进行遥感分类;并利用混淆矩阵方法对分类结果分别进行精度验证.结果表明:土属的总体分类精度较高,达到92. 79% ,Kappa系数为0. 919 5;土壤亚类相对较低,总体分类精度只有84. 71% ,Kappa系数为0. 820 1.可见土壤遥感分类具有显著的尺度适宜性特征,在...

The aim of this study is to test the suitability of different levels of soil remote sensing classification based on Landsat5 TM remote sensing in Qianjiang city,Hubei Province. The authors employed the Landsat5 TM remote sensing image and the two levels of soil type maps( soil subcategories map and soil genus map) as basic data sources. The TM image was processed to extract classification features by using a variety of image processing techniques,which included such means as principal component analysis,tasseled cap transformation and normalized differential vegetation index. Then the authors ...