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Last Post 24 Mar 2015 11:48 PM by  anon
Rx algorithm
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anon



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24 Mar 2015 11:48 PM
    Hello everyone,, I'm working on Rx Anomaly Detection,, I'm using hyperion datacube,, I just loaded the data and ran Rx Anomaly detection in envi. I'm getting output but its not matching with the theory what i have read before applying the algorithm. I know i'm missing something very basic. So please can anyone tell me how it works (bottom to top explanation) or suggest me some material to read. Thank you

    MariM



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    25 Mar 2015 06:42 AM
    The equation and references for RX Anomaly detection are in the ENVI help under Anomaly, Change, and Target Detection > RX Anomaly Detection.

    Deleted User



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    31 Mar 2015 11:56 PM
    Hi.. after running Rx algorithm on particular hyperspectral datacube you will get a image with single band with some anomalies... now i need to classify those anomalies... how it can be done? thank you

    MariM



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    01 Apr 2015 07:52 AM
    Will you classify them by brightness value? If so, you could use the Raster Color Slices to apply color to ranges of values and export this as a Classification image.
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