The persistence in using data sets from a biased ground truth does not allow objective comparisons between classification methods and does not contribute to providing explanation of physical phenomena that images are supposed to reflect. In this communication, we present a fine and complete analysis of the spectral signatures of pixels within each class for the two ground truth data sets mentioned above. The metrics used show some incoherence and inaccuracy of these data which wrongly serve as references in several classification comparative studies. |
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CITATIONS
Cited by 2 scholarly publications.
Hyperspectral imaging
Remote sensing
Visualization
Image classification
Image processing
Data communications
Scientific classification systems