%0 Journal Article
%T 基于遥感影像的土地利用/覆盖变化分类方法研究综述<br>Review of Land Use/Cover Change Classification Methods Based on Remote Sensing Image
%A 谢天
%A 袁正颖
%A 杨海从
%A 姜美慧
%A 廖震
%A 徐晨茜
%J Advances in Geosciences
%P 500-507
%@ 2163-3975
%D 2020
%I Hans Publishing
%R 10.12677/AG.2020.106047
%X 土地利用/覆盖变化是导致全球环境变化的重要因素，同时遥感技术作为获取土地利用/覆盖变化分类的重要方法。本文在综合分析研究当前遥感图像分类方法基础上，将遥感影像分类方法归类为传统方法、基于算法的分类方法和其他方法，详细阐述了各种分类方法及研究进展，最后对土地利用／覆盖变化分类方法研究做了展望。尽管目前为止学者们提出了许多的分类方法，但还是没有一种分类方法能够满足所有的分类要求。因此在土地利用/覆盖变化分类中，应充分利用各种方法的优势，各种方法相互结合，取长补短，以提高遥感图像分类精度。<br />
Land use/cover change is an important factor leading to global environmental change, and remote sensing technology is an important method to obtain the classification of land use/cover change. Based on the comprehensive analysis and study of the current classification methods of remote sensing images, this paper classifies the classification methods of remote sensing images into traditional methods, algorithm-based classification methods and other methods, expounds the classification methods and research progress in detail, and finally makes a prospect of the classification methods of land use/cover change. Although scholars have proposed many classification methods so far, none of them can meet all the classification requirements. Therefore, in the classification of land use/cover change, it is necessary to make full use of the advantages of various methods. Complement each other, in order to improve the precision of remote sensing image classification.
%K 遥感图像，土地利用/覆盖变化，分类方法<br>Remote Sensing Image
%K Land Use/Cover Change
%K Classification Method
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=36254