摘要
遥感影像数据的不确定性及其处理方法的局限性,严重影响着遥感影像地物分类的可靠性。本文从遥感数据的获取、处理、转换和传播等方面分析遥感影像分类中的不确定性因素,并对不确定性的处理方法进行归纳。旨在为后续研究遥感影像数据不确定性建模和分类方法提供有效参考,以提高遥感影像分类精度和自动化程度。
The uncertainty of remote sensing image data and the limitations of its processing methods affect the reliability of re⁃mote sensing image classification seriously.This paper analyzes the uncertain factors in remote sensing image classification from the as⁃pects of remote sensing data acquisition,processing,transformation and dissemination,and summarizes the processing methods of un⁃certainty.The purpose is to provide an effective reference for the follow-up study of remote sensing image data uncertainty modeling and classification methods,in order to improve the accuracy and automation of remote sensing image classification.
作者
陈焕南
林红燕
邢海花
Chen Huannan;Lin Hongyan;Xing Haihua(College of business administration,Hainan College of Economics and Business,Haikou 571127;College of Information Science and Technology,Hainan Normal University,Haikou 571158)
出处
《现代计算机》
2021年第31期33-39,共7页
Modern Computer
基金
海南省自然科学基金高层次人才项目(2019RC182)
国家自然科学基金项目(62066013)
海南省自然科学基金面上项目(618MS058)。
关键词
遥感影像
不确定性
分类
模糊集
remote sensing image
uncertainty
classification
fuzzy set
