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8ParallelpipedClassificationPowerpnts

8ParallelpipedClassificationPowerpnts - Supervised...

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Supervised Classification: The Parallelpiped Classification Unsupervised does not produced good information classes Tell the classification what classes are important to humans Golf course example: – Details about golf course are not important but – Golf course versus wet prairie is important Role of training fields
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Training Fields: A vector tool Digitized Vector Polygon Used like a cookie cutter Saves entire group of rasters under polygon File given land cover name File consists of raster statistics of multidimensional spectral space
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On Screen (Heads up) digitizing Uses composite as a map of spectral characteristics Should be enhanced to bring out details Once vector polygons are established, training fields are cut from raw data Composite is simply used as a map for defining training fields Raw data is source for spectral statistics
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Parametric vs NonParametric Classification Parametric rules based entirely on statistics – Number of bands – Min and Max values, Mean, St. Dev – Number of rasters – Covariance matrix
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