河南理工大学学报：自然科学版2012，Vol.31Issue(1)：66-71,6.
最大自相关因子方法及其在遥感影像分析中的应用进展
Progress in the application of max autocorrelation factor method to remotely sensing imagery analysis
摘要
Abstract
The maximum autocorrelation factor is a statistical calculation method of multivariate image based on the principal component analysis and spatial correlation of remote sensing imagery.The maximum autocorrelation factor transformation of multivariate remotely sensing imagery will produce uncorrelated components among all bands,which are ordered according to the degree of spatial autocorrelation.The mathematic principles of this method are present in this paper.Its advantage ouer principal component analysis is exhibited through a case of hyperspectral imagery processing.The recent developments of its applications in remotely sensing imagery analysis are reviewed.And at last,an outlook of its application to other fields like multi-temporal radar images backscatter coefficient change detection is prospected.关键词
最大自相关因子/空间自相关/主成分分析/遥感/影像分析Key words
max autocorrelation factor/spatial autocorrelation/principal component analysis/remote sensing/image analysis分类
信息技术与安全科学引用本文复制引用
刘春国,高松峰,卢晓峰..最大自相关因子方法及其在遥感影像分析中的应用进展[J].河南理工大学学报：自然科学版,2012,31(1):66-71,6.基金项目
河南省教育厅自然科学研究计划项目 （）
