| REGRESSION ON MULTIVARIATE IMAGES:PRINCIPAL COMPONENT REGRESSION FOR MODELING,PREDICTION AND VISUAL DIAGNOSTIC TOOLS |
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| 作者姓名： | PAUL GELADI Research Group for Chemometries University of Ume S- Ume Sweden and Center for Peat Research Box S- Ume SwedenKIM ESBENSEN Norwegian Computing Center PB Blindern N- Oslo Norway |
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| 作者单位： | PAUL GELADI Research Group for Chemometries，University of Ume，S-90187 Ume，Sweden and Center for Peat Research Box 5097，S-90005 Ume，SwedenKIM ESBENSEN Norwegian Computing Center，PB 114，Blindern，N-0314 Oslo 3，Norway |
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| 摘 要： | Regression between two blocks(usually called‘dependent’or Y and‘independent’or X)of data is a veryimportant scientific and data-analytical tool.Regression on multivariate images is possible and constitutesa meaningful addition to existing univariate and multivariate techniques of image analysis.The regressioncan be used as a modeling tool or for prediction.The form of the regression equation chosen is dependentupon problem specification and information at hand.This paper describes the use of principal componentregression(PCR).Both model building and prediction are presented for continuous Y-variables.The finalgoal is to supply new image material that can be used for visual inspection on a screen.Also,visual toolsfor diagnosis of model and prediction are provided,often based on derived image material.Examplesof modeling and prediction are given for six channels in a seven-channel satellite image
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REGRESSION ON MULTIVARIATE IMAGES:PRINCIPAL COMPONENT REGRESSION FOR MODELING,PREDICTION AND VISUAL DIAGNOSTIC TOOLS |
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| PAUL GELADI Research Group for Chemometries,University of Ume,S- Ume,Sweden and Center for Peat Research Box,S- Ume,SwedenKIM ESBENSEN Norwegian Computing Center,PB,Blindern,N- Oslo,Norway.REGRESSION ON MULTIVARIATE IMAGES:PRINCIPAL COMPONENT REGRESSION FOR MODELING,PREDICTION AND VISUAL DIAGNOSTIC TOOLS[J].Journal of Geographical Sciences,1991(2). |
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| Authors: | PAUL GELADI Research Group for Chemometries University of Ume S- Ume Sweden and Center for Peat Research Box S- Ume SwedenKIM ESBENSEN Norwegian Computing Center PB Blindern N- Oslo Norway |
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| Abstract: | |
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| Keywords: | Multivariate images Principal component regression Multivariate image regression Regression model Predicted image(s) Prediction quality scatter plot Visual diagnostic tools |
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