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You need to develop some knowledge of Remote Sensing data and in using ERMapper.
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"Image Enhancement" oh boy, just in time for Fancy Dress. Computationally, at least, this week will concentrate on the different types of manipulations to enhance the information visible on remote sensing images. Although we will work exclusively with TM images, these types of analyses work with many other data sets from radar to DEMs.
Classification of an image allows one to simplify the overwhelming amount of data into a few classes, which can then be used in a GIS interpretation. A number of possibilities exist for classifying multispectral data. (these topics are also--even better--explained in the ERMapper tutorials)
NOTE: DO NOT ATTEMPT CLASSIFICATIONS WITHOUT FIRST MAKING A COPY OF ANY DATA
TO YOUR OWN WORKSPACE on Q:/. CLASSIFICATION CHANGES THE HEADER FILE.
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Beyond stretching and ratios, there are a host of techniques to improve what is visible on an image. Here are some processes and "tricks" in ERMapper.