Geography 2230A/B Lecture Notes - Lecture 4: Digital Image Processing, Unsupervised Learning, Multispectral Image
18 Dec 2015
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Document Summary
The overall objective of image classification procedures is to automatically categorize all pixels in an image into land cover classes. It uses the dn from multiple channel (multispectral) remote sensing images. The process of automatically classifying an image into spectral classes based on natural groupings found in the data. No samples of known identity are required. Representative sample sites of known cover type, called training areas, are used to compile a numerical interpretation key" that describes the spectral attributes for each feature type. Each pixel is compared numerically to each class in the interpretation key and labeled with the name of the class it looks most like . Usgs land use/land cover classification system for use with remote sensing data. The term land cover relates to the type of feature present on the surface of the earth. The term land use relates to the human activity or economic function associated with a specific piece of land.
