Standardized principal components

Abstract In remote sensing, principal components analysis is usually performed using unstandardized variables. However, the use of standardized variables yields significantly different results. In this paper principal components of two LANDSAT MSS subscenes were separately calculated using both methods. The result indicate substantial improvement in signal-to-noise ratio and image enhancement by using standardized variables in the principal components analysis. Additional informationNotes on contributorsASHBINDU SINGH Member of the Indian Forest Service, Forest Department, Government of Manipur. Imphal, India. ANDREW HARRISON Now with the Remote Sensing Unit, Department of Geography, University of Bristol, University Road, Bristol BS8 ISS.