Parallelepiped Classification: Classification with Speed (Especially for GATE-Geospatial 2022)

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The parallelepiped classifier uses the class limits and stored in each class signature to determine if a given pixel falls within the class or not. The class limits specify the dimensions (in standard deviation units) of each side of a parallelepiped surrounding the mean of the class in feature space.

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If the pixel falls inside the parallelepiped, it is assigned to the class. However, if the pixel falls within more than one class, it is put in the overlapping class (code 255) . If the pixel does not fall inside any class, it is assigned to the null class (code 0) .

The parallelepiped classifier is typically used when speed is required. The drawback is (in many cases) poor accuracy and many pixels classified as ties (or overlap; class 255) .

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