Question

The error matrix resulting from randomly selected test pixels for a classified image is given below.
The Producer’s accuracy of class 1 is   % (rounded off to 1 decimal place).

		Reference Data
		Class 1	Class 2	Class 3	Class 4
Classified Data	Class 1	320	8	7	3
	Class 2	12	270	6	2
	Class 3	9	6	410	5
	Class 4	14	2	3	350

Hint:

Producer’s accuracy is computed by dividing the number of correctly classified pixels for a class by the total number of reference pixels for that class (i.e., column total).

Answer 1

Producer’s Accuracy is given by:
\[ \text{Producer’s Accuracy} = \frac{\text{Correctly classified pixels in Class 1}}{\text{Total actual pixels of Class 1}} \times 100 \]
From the matrix:

- Correctly classified pixels in Class 1 = 320 (diagonal element)
- Total actual pixels of Class 1 (column sum under Class 1) = \(320 + 12 + 9 + 14 = 355\)

\[ \text{Producer’s Accuracy} = \frac{320}{355} \times 100 = 90.14\% \]

Final Answer: 90.1%