Principal components
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| − | When principal components analysis (PCA) is used for change detection, the inputbands are acquired at different dates. The first principal component refers to invariantinformation while second principal component shows the magnitude of change of dynamiccomponents. To simplify the interpretation only three bands (Band 3 (red), 4 (NIR)and 5 (SWIR) ) of two different dates (1992 and 2005) are used. | + | When [[principal components analysis (PCA)]] is used for change detection, the inputbands are acquired at different dates. The first principal component refers to invariantinformation while second principal component shows the magnitude of change of dynamiccomponents. To simplify the interpretation only three bands (Band 3 (red), 4 (NIR)and 5 (SWIR) ) of two different dates (1992 and 2005) are used. |
{{exercise|message=Exercise 55|text=}} | {{exercise|message=Exercise 55|text=}} | ||
Revision as of 16:57, 25 January 2011
QGIS Tutorial
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When principal components analysis (PCA) is used for change detection, the inputbands are acquired at different dates. The first principal component refers to invariantinformation while second principal component shows the magnitude of change of dynamiccomponents. To simplify the interpretation only three bands (Band 3 (red), 4 (NIR)and 5 (SWIR) ) of two different dates (1992 and 2005) are used.
