In the newest update of ENVI 5.7, a significant change has been made to the spectral classification method formerly known as Spectral Angle Mapping (SAM). This method has been rebranded and improved, now referred to as Spectral Information Divergence Classification (SID).
Spectral Information Divergence Classification (SID) is a spectral classification method that uses a divergence measure to match pixels to reference spectra. This divergence measure quantifies the difference between the pixel's spectrum and the reference spectrum. The smaller the divergence, the more likely the pixel is similar to the reference spectrum.
In SID classification, pixels with a measurement greater than the specified maximum divergence threshold are not classified. This threshold helps ensure that only pixels with spectra closely matching the reference spectra are classified, improving the accuracy of the classification process.
The update to SID classification in ENVI 5.7 enhances its performance and accuracy, making it a more robust tool for spectral classification in remote sensing applications. This improvement enables users to classify remote sensing data with greater precision and confidence.
In conclusion, the rebranded and enhanced Spectral Information Divergence Classification (SID) method in the latest update of ENVI 5.7 represents a significant advancement in spectral classification techniques. Users can now benefit from improved classification results and enhanced capabilities for analysing remote sensing data.
Негізгі бет Spectra generation and Spectral information divergence classification in ENVI 5 7
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