Principal components
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{{Content Tree|HEADER=QGIS Tutorial|NAME=QGIS tutorial}} | {{Content Tree|HEADER=QGIS Tutorial|NAME=QGIS tutorial}} | ||
| − | 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 | + | 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=}} | ||
[[category: Change detection]] | [[category: Change detection]] | ||
Revision as of 14:29, 11 November 2010
QGIS Tutorial
Category QGIS tutorial not found
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.
