Progress in the application of max autocorrelation factor method to remotely sensing imagery analysis
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.
Keywords：max autocorrelation factorspatial autocorrelationprincipal component analysisremote sensingimage analysis
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 66-71 )