Mineral Mapping and Classification Using Spectral Information Divergence in ENVI 5.7
To collect mineral spectral information, conduct experiments and collect spectroscopy ground reference measurements. Unload equipment carefully, especially the fragile spectroradiometer, and mount it in a backpack with a reference panel, a laptop for control, and a rod to hold the fiber optic cable. Wear dark clothes to avoid spectral contamination. Adjust the integration time using a reference panel, measure dark current, and perform a reference measurement before the actual spectral measurement. Walk into the field, avoiding damage to minerals, and point the spectrometer to predefined GPS coordinates, continuously recording and averaging spectra.
To classify an image using Spectral Information Divergence (SID), first, select a set of reference spectra (endmembers) representing the pure spectral signatures of minerals in the scene. Calculate the spectral angle between each pixel's spectrum and the reference spectra, treating them as vectors in a space with dimensions equal to the number of spectral bands. Pixels with angles smaller than a specified threshold are classified as the closest spectral match to the reference spectrum. Pixels with angles larger than the threshold are not classified. This method is robust in different lighting conditions and provides valuable information for mineral identification and mapping in hyperspectral imagery.
Видео Mineral Mapping and Classification Using Spectral Information Divergence in ENVI 5.7 канала Space, Remote sensing and GIS
To classify an image using Spectral Information Divergence (SID), first, select a set of reference spectra (endmembers) representing the pure spectral signatures of minerals in the scene. Calculate the spectral angle between each pixel's spectrum and the reference spectra, treating them as vectors in a space with dimensions equal to the number of spectral bands. Pixels with angles smaller than a specified threshold are classified as the closest spectral match to the reference spectrum. Pixels with angles larger than the threshold are not classified. This method is robust in different lighting conditions and provides valuable information for mineral identification and mapping in hyperspectral imagery.
Видео Mineral Mapping and Classification Using Spectral Information Divergence in ENVI 5.7 канала Space, Remote sensing and GIS
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23 марта 2024 г. 12:43:25
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