The application employs the model to assign each pixel in the uploaded image to its designated label. The result of this process is then displayed visually by means of color coding according to each label. For example, the label "Component A" is mapped in red, "Component B" in blue, and "Others" in green, as illustrated in Figure 2(d). This visual representation facilitates intuitive comprehension of the composition and distribution of components across the entire image. Figure 6 Workflow of the application: (a) Uploading hyperspectral image; (b) Labeling selected regions; (c) Generating a discriminant model; (d) Applying the model to an unknown image with visualized results.
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