基于随机森林分类方法和多源遥感数据的湿地植被精细分类_OpenScirbe Publishing

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基于随机森林分类方法和多源遥感数据的湿地植被精细分类

Author(s)：
武思媛

Publication Title：

Wen Yuan (Primary School Edition) 2021 No.08

Affiliations：
中交和美环境生态建设有限公司湖北武汉 430000

Abstract：
以随机森林分类方法以及多源遥感数据为基础对湿地植被进行精细分类的相关研究相对较少。在此次研究过程中，主要是以随机森林分类方法为主，探讨多源遥感数据在湿地植被进行分类过程中的应用要点。在研究时，面向对象分类方法有利于减少椒盐效应，而随机森林分类算法的准确度相对较高，具有较强的应用价值。为了保证湿地植被分类效果，可以对面向对象的分割参数进行调整。研究发现，该精细分类方法的应用准确性较高，可以构建最优的面向对象随机森林分类模型。

Keywords：
随机森林分类方法；多源遥感数据；湿地植被分类

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[1] 武思媛.基于随机森林分类方法和多源遥感数据的湿地植被精细分类[J].Wen Yuan (Primary School Edition),2021(08),.

文渊(小学版)

Wen Yuan (Primary School Edition)

Language: 中文

CN：11-9274/G

ISSN：2096-6261

Publication Frequency: 月刊

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