Tutorial Page 1-15 previous page Table Of Contents Supervised classification is much more effectual in terms of accuracy in mapping substantial classes whose validity depends largely on the cognition and skills of the image specialist. In practice, we could further sequester several such classes, as for example, distinguishing between ocean and bay waters, but their gross similarities in spectral properties would probably make separation difficult.
Several classes gain their data from more than one training site.
Here we show plots for seawater, three different sediment sites and surf waves. It also has a program that presents pixel information for each signature, recording the number of pixels contributing to the data, and the mean, maximum, minimum, and standard deviation of DN values for each signature.