Spatial Enhancement and Band Indices

 


    This week's lab covered enhancing satellite images and how to interpret them via spectral bands. We continued to use ERDAS Image this week, using many of the tools discussed last week. This week's lab as a bit easier than last week; by revisiting ERDAS and applying last week's lab knowledge, I had an easier time navigating through the software. I used the bands of the satellite image to identify different features within the image. In reference to the image above, bands are referred to as layers in the histograms. 
    The histograms in the image above denote the distribution of pixels in each band, and state the mean. Layer 1's mean is 57.8, layer 2 42.9, and layer 3 37. In color images, pixel values range from 255 (white) to 0 (black). Layer 1 has the highest value, and therefore is the brightest band. Layer 3 has the lowest value, and therefore is the darkest band. 

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