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Development of principal component analysis applied to multitemporal Landsat TM data
Authors:Lu Jiaju
Affiliation:Laboratory of Remote Sensing, Department of Physical Geography, University of Lund , Soelvegatan 13, 223 62, Lund, Sweden
Abstract:Abstract

A method of extracting different crop information more effectively, by applying principal component analysis to a three-dimensional three-date Landsat TM data space, has been developed. Landsat TM data obtained on 7 June, 9 July and 26 August 1984 were used to examine the approach, and the results fully demonstrated its advantages over other methods of keeping classification accuracy without any calibrations for multitemporal Landsat data.
Keywords:
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