兰州大学机构库
基于对象分析的土地覆被提取方法对比
钟萧俊; 秦梦谣
2022-01-28
Source Publication科技创新与应用
Volume12Issue:03Pages:126-129
Abstract机器学习和数据挖掘算法在高光谱高空间分辨率遥感影像中得到了极大的发展。文章以靖远县地区的Landsat-8OLI数据,经矫正融合后,选取最优分割尺度,并选取最优特征空间,基于WEKA平台对比了J48分类算法、KNN分类算法、SMO分类算法。实验表明SMO算法的分类效果优于KNN算法分类效果,J48算法分类效果最差。
KeywordJ48 KNN SMO
DOI10.19981/j.CN23-1581/G3.2022.03.036
URL查看原文
Language中文
Original Document Type学术期刊
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Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/475030
Collection兰州大学
Affiliation兰州大学
First Author AffilicationLanzhou University
Recommended Citation
GB/T 7714
钟萧俊,秦梦谣. 基于对象分析的土地覆被提取方法对比[J]. 科技创新与应用,2022,12(03):126-129.
APA 钟萧俊,&秦梦谣.(2022).基于对象分析的土地覆被提取方法对比.科技创新与应用,12(03),126-129.
MLA 钟萧俊,et al."基于对象分析的土地覆被提取方法对比".科技创新与应用 12.03(2022):126-129.
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