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**Choosing a classification scheme.** - Classes are always a **simplification / generalization** of the real world. - Scheme choice depends on the **information-extraction objective** (are you counting tree crowns, or mapping land cover?). - You can pick **broad/abstract** or **specific/concrete** classes. - **Hierarchical** schemes are standard — coarse top level → refined sub-classes. - Canonical example: **Anderson (1976)** land-use / land-cover system for RS data. Level I = 9 classes; Level II = 37 subclasses.

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