The error matrix is the most commonly used method for accuracy assessment that provides appropriate accuracy measures to compare different classification techniques. However, this kind of accuracy assessment might be suitable for L-U-L-C classification. What is the best way to assess the detection of one class from satellite imagery. I'm using rule-based classification technique in e Cognition to detect a specific material from remotely sensed data without classifying L-U-L-C types
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