essential
likely
maybe
probably not
Front (prompt)
Supervised classification — three-step procedure?
Plain English (default view) — short, conversational, lightly seasoned with science
🔬 Scientific / formula (revealed on click) — markdown + $$…$$ ok
1. **Select training samples** — homogeneous AOIs per class. 2. **Generate & evaluate statistical signatures** — mean, std, covariance per band. 3. **Class assignment** via a decision rule (Min Distance, Max Likelihood, etc.).
💡 Mnemonic / memory aid (shown on hover)
Train → Stats → Classify. You TEACH the computer with samples, it LEARNS signatures (mean + covariance), then APPLIES a decision rule to every pixel.
Cancel