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Last Post 08 Dec 2019 10:04 PM by  Malin Hoeppner
Radiometric normalisation of hyperspectral images
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Malin Hoeppner



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21 Nov 2019 09:56 PM
    Hi,
    I need to perform radiometric normalisation of two hyperspectral images that were acquired on the same day but do not overlap in order to do supervised classification. I was thinking to mosaic them but the seamless mosaic tool does not work for hyperpsectral data. Otherwise I found the exact tool to match two images using IDL (https://www.harrisgeospatial.com/docs/ENVIRadiometricNormalizationTask.html) but I can't use IDL so am looking for another way in ENVI.

    Thank you,
    Malin

    MariM



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    25 Nov 2019 07:50 AM
    If you would like to perform histogram matching of your hyperspectral images, then I would suggest using ENVI Classic Georeferenced Mosaic. It uses an older method of histogram matching but it will accept more than 10 bands.
    However, I would only suggest using this method for producing a visually appealing image. If you plan on using the data for time series analysis (comparing images from two different times) or for material identification, it is not suggested you modify the spectral response of an image and instead perform atmospheric correction to obtain 'surface reflectance'. Matching or 'normalizing' images change the spectral charactersistics of the data and typically the point of hyperspectral data is to have spectral responses that are as close as possible as the true reflectance characteristics of the materials of interest for comparison.

    Malin Hoeppner



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    08 Dec 2019 10:04 PM
    Thank you. I wanted to use the mosaic for classification but decided to classify the images seperately.
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