Learn about how to use the algorithm "Principal Component Analysis" to compute principal components helping you to reduce dimensionality of your data set and facilitate exploration and visualization of your data. See how easy it is to implement the PCA in your workflow using the Trimble eCognition Developer Software. Enjoy!

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  • Mattia Barsanti

    Beautiful presentation. Thanks Mathias.
    I applied PCA in a hyperspectral sensor (> 200 bands).
    One question:
    The PCA bands have completely changed from the original bands. How do I know in the PCA bands which is the closest band to Red, or Green etc in nanometers? I do not know if I was clear.
    In general, where do I read the nanometers range of the bands in eCognition?
    Thanks for the help!

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