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| Image with darker pixel values |
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| Image with higher pixel values |
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Image with different levels of reflectivity
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In this week's lab, we were asked to perform exercises with included tasks to increase our understanding of spatial enhancement, multispectral data, and band indices. These exercises and tasks were to be conducted in ERDAS Imagine and ArcGIS Pro. In the first part of the lab, we analyzed images using different methods of filtering for high pass, low pass, and sharpen filter. The high pass filters offer advantages when looking at edges using the Range statistic creating edge detect. The low pass filter generalizes the images because the filter is being run on images that have already been filtered. Lastly, the sharpen filter is similar to the high pass filter only slightly sharpens details. In the last part of the lab, we examined histograms to locate three areas in an image based on pixel values. Grouping of pixel values towards one end over another was how we were able to determine these locations. One where the pixel value was too low, showing darker colors, another showing lighter colors, and the final one showed different levels of reflectivity of one color.
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