A COMPARATIVE-ANALYSIS OF STANDARDIZED AND UNSTANDARDIZED PRINCIPAL COMPONENTS-ANALYSIS IN REMOTE-SENSING

被引：99

作者：

EKLUNDH, L ^{[1
]}

SINGH, A ^{[1
]}

机构：

[1] US GEOL SURVEY,EROS DATA CTR,GRID SIOUX FALLS,SIOUX FALLS,SD 57198

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 1993年 / 14卷 / 07期

关键词：

D O I：

10.1080/01431169308953962

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

In this study Principal Components have been calculated using covariance and correlation matrices for four data sets: Monthly NOAA-NDVI maximum-value composites, NOAA-LAC data, Landsat-TM data, and SPOT multi-spectral data. An analysis of the results shows consistent improvements in the signal to noise ratio (SNR) using the correlation matrix in comparison to the covariance matrix in the principal components analysis for all the data sets.

引用

页码：1359 / 1370

页数：12

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